Location: London

Office requirement: 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal

At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing? 🤔

As our Lead / Principal Forward Deployed Engineer you’ll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn’t a support role, and it isn’t a solutions consultant with a fancy title — you’ll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You’ll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.

A few things you’ll be responsible for:

👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

What do I need to bring with me? 🧳

You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn.

Here’s what the team will be looking for in you:

👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments.

👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs.

👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

👉 The ability to work through ambiguity and turn it into a concrete technical plan.

👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder.

👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time).

Nice to have:

👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

👉 A background in a high-growth B2B SaaS or AI-native company.

👉 Experience in one or more of GWI’s core verticals: financial services, media & agencies, consumer goods, or technology.

👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.

Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you.

What’s in it for me? 🎁

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays.

🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.

💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.

🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.

💪 Career growth – Accredited learning, leadership development, and global career mobility.

🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.

Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Diversity, Equity & Inclusion

Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.

#li-hybrid

#LI-NIKOSSS1

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of  what we do:

• UK & Ireland’s premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW
• We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Job Description

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment
• Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows
• Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines
• Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Exc ellence & Operations

• · Apply strong software engineering and distributed systems principles to AI development
• · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring
• · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior
• · Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship

• · Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• · Partner with AI engineers, data scientists, and platform teams to scale delivery
• · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices
• · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 10+ years of experience in software engineering

Programming & Engineering

•  Python
•  REST APIs
•  CI/CD pipelines
•  Automated testing
•  Distributed systems design
• Generative & Agentic AI
•  Generative AI and LLM-based systems
• Agentic and multi-agent workflows
• Retrieval Augmented Generation (RAG)
• Embeddings and vector databases
• Prompt engineering and prompt optimization
•  LLM evaluation and testing strategies

· Cloud & AI Platforms

• Azure OpenAI
• Azure AI Services
•  AWS Bedrock
• Amazon SageMaker

· Production & Operations

• Observability (logs, metrics, tracing, alerts)
• Monitoring and reliability engineering
• Performance tuning and cost optimization

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company’s profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Version 1 is an equal opportunities employer.

We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1]  at Version 1. We will consider all requests carefully, respectfully and confidentially.Video links:

https://www.youtube.com/watch?v=F_d3ELTH5zo

[EM1]Please add the email address for the lead recruiter

Company Description

Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of  what we do:

• UK & Ireland’s premier AWS, Microsoft & Oracle partner
• 3300+ strong, €350/£300m revenue business
• 10+ years as a Great Place to Work in Ireland & UK
• Best Workplace for Women in the UK & Ireland by GPTW
• Best Workplace for Wellbeing in the UK by GPTW
• We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Job Description

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment
• Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows
• Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines
• Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Exc ellence & Operations

• · Apply strong software engineering and distributed systems principles to AI development
• · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring
• · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior
• · Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship

• · Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• · Partner with AI engineers, data scientists, and platform teams to scale delivery
• · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices
• · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• 10+ years of experience in software engineering

Programming & Engineering

•  Python
•  REST APIs
•  CI/CD pipelines
•  Automated testing
•  Distributed systems design
• Generative & Agentic AI
•  Generative AI and LLM-based systems
• Agentic and multi-agent workflows
• Retrieval Augmented Generation (RAG)
• Embeddings and vector databases
• Prompt engineering and prompt optimization
•  LLM evaluation and testing strategies

· Cloud & AI Platforms

• Azure OpenAI
• Azure AI Services
•  AWS Bedrock
• Amazon SageMaker

· Production & Operations

• Observability (logs, metrics, tracing, alerts)
• Monitoring and reliability engineering
• Performance tuning and cost optimization

Additional Information

Why Version 1?

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company’s profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
• Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
• Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
• Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

And many more exciting benefits… drop us a note to find out more.

Version 1 is an equal opportunities employer.

We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address][EM1]  at Version 1. We will consider all requests carefully, respectfully and confidentially.Video links:

https://www.youtube.com/watch?v=F_d3ELTH5zo

[EM1]Please add the email address for the lead recruiter

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You’ll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers.

This position is focused on architecting and executing technical solutions across the Data 360 and Agentforce platform—designing scalable data models, identity resolution strategies, real-time activation patterns, and the agentic solutions built on top of them.

You’ll have the opportunity to:

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data.
• Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies.
• Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
• Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
• Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions.
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
• Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns.
• Establish DevOps, source control, and CI/CD practices for data and AI solutions.
• Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.

Required Qualifications

• 6+ years of experience in application, data, or software development and architecture
• 3+ years of hands-on experience with the Salesforce Platform in a development or architecture role
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation
• Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java)
• Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift)
• Understanding of data modeling, governance, security, and privacy best practices
• Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles
• Strong communication skills; the ability to convey complex technical details to all audiences

Preferred Skills

• Hands-on experience with Agentforce or other Generative AI / agentic platforms
• Experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes
• Salesforce certifications, preferably Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist
• Experience defining robust testing approaches for data and GenAI solutions

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 06/03/2026 and open for at least 3 days.

California Annual Salary Range

$94,400 - $266,300 USD

Cleveland Annual Salary Range

$87,400 - $213,000 USD

Colorado Annual Salary Range

$94,400 - $230,000 USD

District of Columbia Annual Salary Range

$100,500 - $245,000 USD

Illinois Annual Salary Range

$87,400 - $230,000 USD

Maryland Annual Salary Range

$94,400 - $230,000 USD

Massachusetts Annual Salary Range

$94,400 - $245,000 USD

Minnesota Annual Salary Range

$94,400 - $230,000 USD

New York / New Jersey Annual Salary Range

$87,400 - $266,300 USD

Washington Annual Salary Range

$100,500 - $245,000 USD

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

As a Technical Architect, Data & AI focused on Salesforce Data 360 (formerly Data Cloud) and Agentforce, you will be responsible for owning the end-to-end technical solution that turns unified customer data into intelligent, AI-powered experiences for our clients. You’ll have the opportunity to make significant contributions to our success by working with the rest of our talented AI and Data team to delight customers.

This position is focused on architecting and executing technical solutions across the Data 360 and Agentforce platform—designing scalable data models, identity resolution strategies, real-time activation patterns, and the agentic solutions built on top of them.

You’ll have the opportunity to:

• Lead and own the technical solution design across Data 360 and Agentforce—including data streams, DLOs, DMOs, identity resolution, calculated insights, segments, real-time activation, and the agent topics, instructions, and actions that consume that data.
• Design scalable and secure data architectures on Salesforce Data 360—defining ingestion patterns, harmonization, identity resolution rules, and zero-copy / data federation strategies.
• Deep dive into the limits and boundaries of Data 360 and Agentforce, finding novel solutions to drive business outcomes.
• Architect RAG and Generative AI solutions leveraging Unstructured DMOs, Retrievers, Search Indexes, and Document Processing, applying RAG best practices.
• Collaborate with customers, Project Managers, Solution Architects, Developers, and UX Designers to translate business needs into well-architected solutions.
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment.
• Define integration frameworks and reference architectures connecting Data 360, MuleSoft, enterprise data warehouses, and other systems using real-time and batch patterns.
• Establish DevOps, source control, and CI/CD practices for data and AI solutions.
• Coach and mentor developers and junior architects, and follow and understand new Salesforce products and technical capabilities.

Required Qualifications

• 6+ years of experience in application, data, or software development and architecture
• 3+ years of hands-on experience with the Salesforce Platform in a development or architecture role
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• Hands-on experience architecting and implementing Salesforce Data 360 (Data Cloud)—data streams, DLOs, DMOs, identity resolution, calculated insights, and activation
• Proficiency in SQL and Apex, with exposure or working knowledge of modern coding languages (e.g., Python, JavaScript, Java)
• Experience designing data integration patterns across enterprise systems (MuleSoft, ETL/ELT tooling, data warehouses such as Snowflake, BigQuery, or Redshift)
• Understanding of data modeling, governance, security, and privacy best practices
• Experience with source control, branching/pull request strategies, and familiarity with CI/CD and DevOps principles
• Strong communication skills; the ability to convey complex technical details to all audiences

Preferred Skills

• Hands-on experience with Agentforce or other Generative AI / agentic platforms
• Experience building RAG solutions with Unstructured DMOs, Retrievers, and Search Indexes
• Salesforce certifications, preferably Data Cloud Consultant, Platform Developer II, Application Architect, or Agentforce Specialist
• Experience defining robust testing approaches for data and GenAI solutions

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 06/03/2026 and open for at least 3 days.

California Annual Salary Range

$94,400 - $266,300 USD

Cleveland Annual Salary Range

$87,400 - $213,000 USD

Colorado Annual Salary Range

$94,400 - $230,000 USD

District of Columbia Annual Salary Range

$100,500 - $245,000 USD

Illinois Annual Salary Range

$87,400 - $230,000 USD

Maryland Annual Salary Range

$94,400 - $230,000 USD

Massachusetts Annual Salary Range

$94,400 - $245,000 USD

Minnesota Annual Salary Range

$94,400 - $230,000 USD

New York / New Jersey Annual Salary Range

$87,400 - $266,300 USD

Washington Annual Salary Range

$100,500 - $245,000 USD

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

About Cority

Cority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust, automate workflows that make people more impactful, and deliver personalized insights and expertise to improve decision-making. While most solutions respond to risks one at a time, Cority helps prevent them across environmental management, employee health, safety, quality, and sustainability. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide. Cority has received many awards for its strong employee culture and outstanding business performance. To learn more, visit www.cority.com.

About the Role:

We’re hiring a hands-on marketing operator to drive how AI, data, and systems drive pipeline growth and process efficiency.

You will define how AI is adopted across the marketing team, turning experimentation into repeatable workflows that improve output, speed, and quality. At the same time, you will own the systems, data, and infrastructure behind pipeline generation, ensuring marketing’s impact is measurable, visible, and trusted across the business.

This is a builder role with high visibility. You will work across marketing and RevOps, with direct influence on pipeline performance and how the team operates day to day.

Key Responsibilities:

Scale AI Across Marketing

• Design and implement AI-driven workflows that improve campaign execution, content production, and operational efficiency

• Turn one-off AI experiments into scalable, repeatable systems the team can run independently

• Measure the impact of AI initiatives on pipeline and team productivity, and scale what works

• Lead a structured crawl-walk-run adoption model that brings the full team along

• AI workflows are embedded across the marketing team and tied to measurable efficiency gains

• See marketing as an impactful player throughout the customer acquisition process and lean in to the ideal prospect journey to create an efficient and effective experience

Own Demand Infrastructure

• Own end-to-end funnel performance, identifying and resolving breakdowns before they impact pipeline

• Ensure data integrity, tracking accuracy, and system reliability across all campaigns

• Build and maintain consistent reporting across the Marketing team that provide clear, actionable visibility into pipeline performance

• Partner with Revops to evolve tech stack, including Marketo, Salesforce, ON24, Cvent, Qualified, and Asana

Align Marketing and Revenue Operations

• Partner with RevOps to define and standardize lifecycle stages, attribution models, and shared success metrics

• Ensure marketing’s contribution to pipeline is clearly measured and communicated

• Handle marketing-specific system configuration, troubleshooting, and reporting

• Stay current on platform capabilities to maximize value from existing tools

Qualifications:

• 7–10+ years in B2B SaaS marketing operations or demand operations

• Deep, hands-on experience with marketing tech stack, including Marketo and Salesforce

• Proven track record improving pipeline performance through systems, data, or automation

• Experience deploying AI or automation into real marketing workflows with measurable results

• Strong understanding of demand generation, funnel mechanics, and revenue attribution

• Ability to operate both strategically and tactically and work across teams including Marketing, BDR, Revenue Operations, and GTM teams

• Experience applying LLMs to real marketing use cases

• Strong prompt design skills and ability to structure reusable workflows

• Clear point of view on build vs buy decisions

• Experience integrating AI into workflows with appropriate human oversight

• Familiarity with ON24, Cvent, Qualified, and Asana

• Applies a curiosity-driven growth mindset to identify opportunities and drive innovation across marketing systems and workflows

Why This Role:

• Direct impact on pipeline and business performance leveraging your expertise to set the agenda

• Ownership across AI adoption and demand infrastructure

• High visibility with leadership and cross-functional teams

• Opportunity to define how a modern marketing team operates with AI at its core

• Strong team culture with highly skilled individuals who all strive towards the goal of an innovative and dynamic marketing motion

WHAT’S IN IT FOR YOU?

·An opportunity to work in a values-driven, performance oriented, dynamic and growth focused culture

·We support a remote working environment with a one-time home office allowance and subsidized monthly internet allowance

·Competitive health benefits, dental plans, and retirement savings plan (RRSP, 401K plan etc.)

·Annual fitness allowance

·Mental health support provided through access to Calm Premium meditation app and access to Talkspace

·Access to Udemy, internal training programs, annual training allowance and certifications (if applicable), and High Talent Programs

Cority is committed to a diverse and inclusive work environment. Cority is an equal opportunity employer and does not discriminate based on race, nationality, gender, gender identity, sexual orientation, protected veteran status, age, disability or any other legally protected status. For applicants who would like to request for accommodation please send an email to [email protected].

Headquarters: Porto Alegre, State of Rio Grande do Sul, Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We're restructuring engineering around initiative teams: a Product Engineer paired with a PM and a designer, with an Engineering Manager who covers a couple of initiatives and supports your growth. The engineer leads AI agents like a team, ships the work, and is accountable — with the rest of the triangle — for whether the initiative moves its metric.

We're betting that 1-2 strong engineers running AI agents can outship the labor-team model that defined the last decade of software. That bet only works if the engineers we hire are wired for ownership and can ship to a marketplace with real customers and pros on both sides.

The Role

You're the engineering anchor of one initiative at a time. The initiative is a team effort — an iron triangle of you, your PM, and your designer — and you have key participation across the full lifecycle: shaping the problem, deciding the technical approach, leading the AI agents that implement most of the code, shipping to production, and answering for the outcome alongside the rest of the triangle.

You're accountable for the outcome — not for the volume of code merged. If an agent can ship it safely, your job is to make sure the agent does it right and the metric moves. If the initiative needs hand-written code in a sensitive area, you write it yourself.

What makes this role different:

• You lead AI agents, not humans. Claude Code, Cursor, Codex, and our internal agent stack are your team. You own the quality, safety, and velocity of what they produce.
• You own an outcome, not a ticket queue. Problem-framing through production through the metric review 2-4 weeks after launch.
• You partner horizontally with PM and design. No tech lead above you. No architect approval. No ticket grooming committee.
• The bar is staff, not senior. You make the call when the call needs to be made. If you're waiting to be told, this isn't the role.

What You'll Own

• The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make the call, document it, and revisit it if the data says you were wrong.
• Agent-led implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code on your initiative. Most lines will be agent-authored. You're accountable for them.
• Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and your designer (UX decisions, in-tool prototyping with agents), and weekly check-ins with your EM (initiative health, blockers, growth).
• The initiative outcome — the specific metric the initiative was set up to move. In partnership with your PM, you present results 2-4 weeks post-launch and share the "did it work" answer.
• A high bar for what ships under your name — production correctness, security posture, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar.

Problems to Solve

Leading AI agents at staff-level quality
Most of the code on your initiative will be authored by AI agents. The work is making agents ship as if a senior engineer wrote it: prompts that encode our codebase conventions, evals that catch hallucinations before merge, tests that exercise the edges, observability that catches the regression in production before a customer reports it. How do you build the agent workflow that lets one engineer ship what used to take a team?

Owning an outcome without a tech lead
You don't have a tech lead to approve your design or an architect to escalate to. You have an EM who covers a couple of initiatives and peers on adjacent ones. How do you make calls fast, document them clearly, and stay accountable to the outcome — without slowing down for hierarchy that no longer exists?

Shipping outcomes, not features
The initiative will be measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit economics shift. You're accountable for the number, not the feature. How do you scope to actually move it, decide what to not build, and have the discipline to follow up 2-4 weeks after launch even when the next initiative is calling?

What Success Looks Like (Year 1)

• Initiative outcomes hit — You've shipped 3-4 initiatives end-to-end, and at least two clearly moved the metric they were set up to move (with the post-launch review to prove it).
• Agent workflow that travels — The prompts, evals, and review loop you built for your initiative are adopted by at least one other engineer on an adjacent initiative.
• Cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter than the pre-restructure baseline.
• Zero "agent-shipped that" incidents — No customer- or pro-facing regression traceable to agent-authored code that you missed in review.
• Visible leverage — Other engineers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use.

Who You Are

AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship — daily, on production work. You have opinions about prompts, evals, agent loops, MCP servers, and review workflows, and you know when to let the agent run vs. write it yourself. This is unlikely to be a good fit if you describe AI coding as "something you're exploring" or prefer to write everything by hand.

Already operating at lead level. You may currently be titled Senior, Staff, Lead, or Principal — but in practice you've been the person making the call, shipping the hard thing, and answering for whether it worked. This is unlikely to be a good fit if you've always had a tech lead breaking down the work for you.

Outcome-driven, not output-driven. You measure your week in "did the metric move" and "did the experience get better," not in tickets closed. You read the post-launch dashboard and you own the answer. This is unlikely to be a good fit if you take pride in volume of code shipped or feel uncomfortable being measured on a number you don't fully control.

A strong horizontal partner. You hold your own with a strong PM and a strong designer. You bring engineering judgment to product calls and product judgment to engineering calls. This is unlikely to be a good fit if you hide behind "that's product's decision" or default to RICE-scoring tickets handed down to you.

Decisive and documented. Architecture decisions, data-model choices, rollout plans — you write them down, get fast input, and move. This is unlikely to be a good fit if you wait for consensus on questions that have a clear right answer, or if you make calls and never write them down.

Raises the floor, not just the ceiling. Your impact compounds beyond your own initiative because you leave artifacts — agent workflows, evals, runbooks, post-launch reviews. This is unlikely to be a good fit if you're a lone wolf who ships brilliantly but leaves nothing reusable behind.

Cares about customers and pros. This is a real-world marketplace with real people on both sides. This is unlikely to be a good fit if you're chasing pure engineering elegance over business and customer outcomes.

This Role Is NOT

• A tech lead in an old-style team. No 4-5 engineers reporting up to you on technical direction. The team is you + PM + designer + EM, with AI agents doing most of the implementation.
• A management role today. People management is the EM's job in this role. That said, the path can grow into management for those who want it — it's an open door, not a closed one.
• A platform-only or architecture-only role. You're a Product Engineer. You ship features that move metrics, end-to-end. Platform work happens inside the initiative when it's needed for the outcome.
• A "let AI do everything" role. Agents handle implementation grunt work. You handle judgment, design, safety, and accountability. The bar is higher than the old senior bar, not lower.
• A research role. This is shipping to a marketplace with $100M+ in bookings. Customers and pros are using what you ship inside the same week.

Tech You'll Touch

• AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling
• Backend — PHP/Laravel
• Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile)
• Data — Redshift, dbt, Segment, Airflow
• Infra — AWS, Datadog, Sentry, GitHub Actions
• Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira

You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.

Benefits

• Competitive salary of USD $80,000-$100,000 annual base
• Work from anywhere
• High ownership and autonomy
• Fast-moving team that loves to build, learn, and grow

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-staff-product-engineer-4

Company Description

We are seeking a Senior/Principal AI Engineer to join our Stellar AdTech Business Unit at Sigma Software. This is a full-time role with a flexible hybrid/remote work option, ideal for an experienced professional passionate about designing production-grade agentic AI systems and influencing solution architecture for global AdTech clients.

You will work with cutting-edge multi-agent orchestration frameworks, contribute to presales activities, and design custom AI models that power large-scale, enterprise-ready solutions.

Why Join Us: Be part of a 300+ strong AdTech competence center, collaborate with top-tier global clients, and help shape the future of AI in advertising technology.

PROJECT

Our Stellar AdTech Business Unit specializes in Advertising Technology solutions and has been delivering innovative systems to global AdTech leaders and startups since 2008.

In this role, you will architect scalable AI-powered systems, translate complex business problems into actionable LLM-based solutions, and support presales by defining AI use cases, architectures, risks, and implementation roadmaps.

Job Description

• Consult clients during presales to assess AI readiness, constraints, and success criteria, translating visions into actionable requirements
• Prepare and present presales deliverables including architecture diagrams, assumptions, risks, estimates, scalability considerations, and implementation roadmaps
• Define AI use cases and agentic scenarios based on client needs
• Select and justify LLMs per use case based on requirements, cost, latency, safety, capability
• Architect multi-agent frameworks with orchestrator agents and MCP-style protocols
• Design and implement single-agent/multi-agent AI systems with defined roles, tool access, memory, safety boundaries
• Build orchestration logic (routing, delegation, retries, fallback strategies, consensus, human-in-the-loop flows)
• Develop RAG pipelines (data ingestion, chunking, embeddings, vector databases, hybrid retrieval, relevance optimization)
• Implement learning & feedback loops for continuous agent improvement
• Design custom or adapted models (prompt-tuned agents, LoRA fine-tuning, domain-inherited models)

Qualifications

• Designing and building AI-powered systems in production
• Agentic frameworks, multi-agent collaboration, orchestrator/worker models
• RAG pipelines, relevance tuning
• Python and/or TypeScript, API design, microservices, cloud-native architectures
• Presales consulting, translating business problems into AI solutions

Additional requirements:

• Practical knowledge of multiple LLM providers (OpenAI, Anthropic, open-source)
• Ability to build/adapt models (prompt-tuned agents, LoRA fine-tuning, inheritance from foundation models)
• Knowledge of AWS Bedrock, Azure OpenAI, GCP Vertex AI
• Understanding governance, security, data residency, pricing models, enterprise integration for cloud AI platforms
• Production-grade mindset: observability, logging, security, PII handling, cost-efficiency
• Strong communication skills for explaining AI concepts to non-technical stakeholders
• English level: Upper-Intermediate
• Experience: 5+ years in AI engineering or related roles

WILL BE A PLUS

• Experience in AdTech domain
• Experience integrating AI into legacy or enterprise systems
• Familiarity with workflow automation tools
• Knowledge of DevOps practices, CI/CD, containerization

We’re hiring our first Lead AI Automation Engineer to lead a team that designs, ships, and scales automations and AI agents across M-KOPA. This is a brand-new team within the business - the tech foundation is already proven, and now we need someone to lead it, scale it, and define what it becomes.

The Impact

Your automations and agents will directly improve how 2,300+ employees work across our global operations. We’ve already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster. It’s your chance to be part of something that’s literally transforming lives across an entire continent 🌍

The Opportunity

• 🎯 Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa’s Every Day Earners

• 🏆 Global recognition: Join a company named by TIME 100 as one of the world’s most influential and by the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022–2025)

• 🚀 Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can’t scale by hiring forever need intelligent tooling that actually works

• 🌱 Environmental impact: We’re carbon-negative, having displaced over 2 million tonnes of emissions

What You’ll Do

At M-KOPA, you’ll lead the AI Ops team from day one - owning delivery, growing the function, and proving the value. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products. Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.

Your key responsibilities:

• Lead two AI Ops Engineers — own their delivery, development, and day-to-day work

• Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you’ll help develop and improve

• Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work

• Keep the AI tooling stack healthy as usage scales across 2,500+ employees

• Stay current on emerging AI tools and technologies - know what’s hype and what’s actually useful

• Help refine AI training for the wider organisation, including Software Engineering teams

Technical Environment 💻

• AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)

• Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)

• Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations

• Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production

Our Approach

• Build, don’t just advise — this is a hands-on team that ships working automations and agents

• Prove the value, then expand — start with two engineers, demonstrate impact, grow from there

• Product-focused mindset — treat internal teams as customers and build tooling that works

• Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz

What You Need

We’re looking for someone with a strong technical background and product-focused. You won’t be building models - we have Data Science teams for that. You’ll be building agents, shipping automations, and leading a team that makes M-KOPA’s internal operations smarter and faster.

Required Experience:

• Hands-on experience building automations — scripting, workflow tools, or AI-assisted development

• Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar

• Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms

• People leadership experience — you’ve led or mentored engineers and can own a team’s delivery and development

Why This Role?

This is a brand new team within the business, reporting to the Director of Security. The tech stack is proven - twelve months of Claude, Notion, HiBob, and Entra automations already running. The team structure is what’s new. That’s yours to shape. You’ll start with two engineers. Prove the value. Expand from there.

The problems are complex. 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. Internal teams that can’t scale by hiring forever. Customer-facing staff who need tools that actually work.

M-KOPA provides affordable financial and digital products to underserved communities across Africa - unlocking access to smartphones, credit, and insurance for millions of people. The automations and agents you build don’t just save time internally - they help that mission reach more people.

If you want to decide how AI actually gets used at scale across a growing fintech – this is the opportunity

Location & Benefits

• 🌍 Fully remote role within UTC -1 to UTC +3 time zones

• 🤝 Work with diverse teams across UK, Europe, and Africa

• 📚 Professional development programmes and coaching partnerships

• 👨‍👩‍👧‍👦 Family-friendly policies and flexible working arrangements

• 💚 Well-being support and career growth opportunities

Our Mission 🌍

We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities.

Our Impact 💚

Our technology has created measurable change:

• Connected 📱: 2.5 million first-time smartphone users connected

• Prosperous 💰: 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents

• Green 🌱: 2.1 million tonnes of CO₂ avoided through clean energy products, with over 127,700 circular economy products provided

Ready to lead a brand-new AI team - shipping agents and automations that drive real-world financial inclusion?

Apply Now

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

We’re hiring our first Lead AI Automation Engineer to lead a team that designs, ships, and scales automations and AI agents across M-KOPA. This is a brand-new team within the business - the tech foundation is already proven, and now we need someone to lead it, scale it, and define what it becomes.

The Impact

Your automations and agents will directly improve how 2,300+ employees work across our global operations. We’ve already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster. It’s your chance to be part of something that’s literally transforming lives across an entire continent 🌍

The Opportunity

• 🎯 Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa’s Every Day Earners

• 🏆 Global recognition: Join a company named by TIME 100 as one of the world’s most influential and by the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022–2025)

• 🚀 Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can’t scale by hiring forever need intelligent tooling that actually works

• 🌱 Environmental impact: We’re carbon-negative, having displaced over 2 million tonnes of emissions

What You’ll Do

At M-KOPA, you’ll lead the AI Ops team from day one - owning delivery, growing the function, and proving the value. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products. Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.

Your key responsibilities:

• Lead two AI Ops Engineers — own their delivery, development, and day-to-day work

• Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you’ll help develop and improve

• Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work

• Keep the AI tooling stack healthy as usage scales across 2,500+ employees

• Stay current on emerging AI tools and technologies - know what’s hype and what’s actually useful

• Help refine AI training for the wider organisation, including Software Engineering teams

Technical Environment 💻

• AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)

• Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)

• Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations

• Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production

Our Approach

• Build, don’t just advise — this is a hands-on team that ships working automations and agents

• Prove the value, then expand — start with two engineers, demonstrate impact, grow from there

• Product-focused mindset — treat internal teams as customers and build tooling that works

• Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz

What You Need

We’re looking for someone with a strong technical background and product-focused. You won’t be building models - we have Data Science teams for that. You’ll be building agents, shipping automations, and leading a team that makes M-KOPA’s internal operations smarter and faster.

Required Experience:

• Hands-on experience building automations — scripting, workflow tools, or AI-assisted development

• Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar

• Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms

• People leadership experience — you’ve led or mentored engineers and can own a team’s delivery and development

Why This Role?

This is a brand new team within the business, reporting to the Director of Security. The tech stack is proven - twelve months of Claude, Notion, HiBob, and Entra automations already running. The team structure is what’s new. That’s yours to shape. You’ll start with two engineers. Prove the value. Expand from there.

The problems are complex. 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. Internal teams that can’t scale by hiring forever. Customer-facing staff who need tools that actually work.

M-KOPA provides affordable financial and digital products to underserved communities across Africa - unlocking access to smartphones, credit, and insurance for millions of people. The automations and agents you build don’t just save time internally - they help that mission reach more people.

If you want to decide how AI actually gets used at scale across a growing fintech – this is the opportunity

Location & Benefits

• 🌍 Fully remote role within UTC -1 to UTC +3 time zones

• 🤝 Work with diverse teams across UK, Europe, and Africa

• 📚 Professional development programmes and coaching partnerships

• 👨‍👩‍👧‍👦 Family-friendly policies and flexible working arrangements

• 💚 Well-being support and career growth opportunities

Our Mission 🌍

We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities.

Our Impact 💚

Our technology has created measurable change:

• Connected 📱: 2.5 million first-time smartphone users connected

• Prosperous 💰: 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents

• Green 🌱: 2.1 million tonnes of CO₂ avoided through clean energy products, with over 127,700 circular economy products provided

Ready to lead a brand-new AI team - shipping agents and automations that drive real-world financial inclusion?

Apply Now

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.

Headquarters: Florida
URL: http://Calibrategroup.ai

About the Role:

We're hiring our founding technical hire — a Senior Technical Lead who will own the entire technical vision and execution. This is a co-builder role, not a cog-in-machine role.
This is an application-layer engineering role. You'll be building AI-powered tools that solve real business problems for real operators — not managing GPU clusters, optimizing inference pipelines, or scaling cloud infrastructure. If you get more excited connecting QuickBooks to an AI agent that saves a business owner 10 hours a week than you do tuning Kubernetes configs, keep reading.

What You'll Own

• AI-powered diagnostic and recommendation engine — our core client acquisition tool
• Integrations with SMB platforms (Toast, Square, Mindbody, QuickBooks, HubSpot)
• AI agent stack (Claude API, Make.com, Clay) for client implementations
• Client-facing portal for ongoing optimization and reporting
• Technical hiring as we scale toward $3M+ revenue

What We're Looking For

• 8+ years of engineering experience shipping real SaaS products
• AI-native workflow: Cursor, Claude API, Make.com are daily tools, not experiments
• Led a small team. You think in business outcomes, not just code
• Former founding engineer or technical co-founder is a strong signal
• Comfortable with ambiguity. You build the plane while flying it
• Bonus: experience in consulting, agencies, or client-facing technical work

To apply: https://weworkremotely.com/remote-jobs/calibrate-group-ai-senior-technical-lead