AIOps Lead in Birmingham

AIOps Lead in Birmingham

Birmingham Full-Time 81000 - 99000 Β£ / year (est.) Working from home possible
M Kopa

At a Glance

  • Tasks: Lead a new AI Ops team to design and scale automations that transform operations.
  • Company: Join M-KOPA, a mission-driven fintech recognised globally for its impact.
  • Benefits: Enjoy remote work, professional development, and family-friendly policies.
  • Other info: Shape a brand-new team and drive impactful change in a dynamic environment.
  • Why this job: Make a real difference in financial inclusion across Africa with innovative tech.
  • Qualifications: Experience in building AI agents and leading teams is essential.

The predicted salary is between 81000 - 99000 Β£ per year.

We're hiring our first AIOps Lead 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 production-grade automations and agents will directly improve how 2,300+ employees work across our global operations.
  • We've already helped over 10 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 5 consecutive years (2022–2026).
  • 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. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products.

Your key responsibilities:

  • Lead three AI Ops Engineers β€” own their delivery, development, and day-to-day work.
  • Prioritise efficiently β€” manage competing requests from multiple teams by applying a clear prioritisation framework you'll help develop and improve.
  • Design and ship multi-agent systems and production-grade automations that measurably improve how internal teams and customer-facing staff work.
  • Build RAG pipelines for internal knowledge retrieval that ground agents in real organisational context.
  • 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, LangGraph, MCP, multi-agent orchestration, 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, Claude Code, Notion, HiBob, and Entra automations already running in production β€” you're building on proven foundations, not starting from zero.

Our Approach

  • Build, don't just advise β€” this is a hands-on team that ships working automations and agents.
  • Prove the value, then expand β€” start with three engineers, demonstrate impact, grow from there.
  • Product-focused mindset β€” treat internal teams as customers and build tooling that works.
  • Cut through the hype β€” 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 mindset. You won't be building models - we have Data Science teams for that. You'll be building multi-agent systems, shipping production-grade automations, and leading a team that makes M-KOPA's internal operations smarter and faster.

Required Experience:

  • Hands-on experience building production-grade automations and AI agents β€” scripting, workflow tools, or AI-assisted development.
  • Hands-on experience building multi-agent systems using agentic frameworks β€” LangChain, LangGraph, MCP, Google ADK or similar.
  • Experience with RAG pipelines β€” retrieval-augmented generation for internal knowledge and workflow automation.
  • Background in enterprise tooling β€” rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms.
  • People leadership experience β€” 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, Claude Code, Notion, HiBob, and Entra automations already running. The team structure is what's new. That's yours to shape. You'll start with three 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

Our Impact

  • 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 COβ‚‚ avoided through clean energy products, with over 127,700 circular economy products provided.

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

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.

AIOps Lead in Birmingham employer: M Kopa

M-KOPA is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to make a meaningful impact across Africa. With a focus on professional growth, team members benefit from continuous learning opportunities and the chance to lead cutting-edge projects in a fully remote environment. Join us to be part of a mission-driven company that values your contributions and supports your career development.

M Kopa

Contact Details:

M Kopa Recruitment Team

We think you need these skills to ace AIOps Lead in Birmingham

Hands-on experience building production-grade automations
Scripting
Workflow tools
AI-assisted development
Experience with multi-agent systems
Agentic frameworks (LangChain, LangGraph, MCP, Google ADK)
RAG pipelines