AIOps Lead Job M-KOPA Solar, Nairobi, Kenya

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.

Responsibilities or duties

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.

Qualifications or requirements 

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.

Experience needed

Required Experience:

• Hands-on experience building production-grade automations and AI agents — scripting, workflow tools, or AI-assisted development
• Hands-on experience building multi-agent systems using agentic frameworks — LangChain, LangGraph, MCP, Google ADK or similar
• Experience with RAG pipelines — retrieval-augmented generation for internal knowledge and workflow automation
• 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

Any other provided details (e.g., benefits, work environment, team info, or additional notes)

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 — you’re building on proven foundations, not starting from zero

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 three 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

• Lead three 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
• 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

• AI & Agentic Frameworks (Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK)
• Automation & Prototyping (Scripting, workflow tools, AI-assisted development, rapid prototyping)
• Enterprise Tooling (Identity automation, internal platforms, Notion, HiBob integrations)
• RAG pipelines
• People leadership

• Strong technical background
• Product-focused mindset
• Hands-on experience building production-grade automations and AI agents
• Hands-on experience building multi-agent systems using agentic frameworks
• Experience with RAG pipelines
• Background in enterprise tooling
• People leadership experience