Intec Select
AI Product Manager – Agentic Systems (Bespoke AI Agents)
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AI Product Manager – Agentic Systems (Bespoke AI Agents)
£600 – £650 per day
Inside IR35
6 Month Initial Contract
London – Hybrid
Company and Introduction for AI Product Manager – Agentic Systems (Bespoke AI Agents):
Our client is a globally established information services business with dedicated AI engineering teams already delivering in production. Their Commercial AI function spans AI product development, agentic deployments and internal transformation programmes. They're looking for an AI Product Manager who can take business processes apart, work out where bespoke AI agents genuinely change them, and drive those agents from design through to production – working directly alongside the engineering team building them.
To be upfront: this is not about configuring off-the-shelf copilots or wrapping a chatbot around an FAQ. You'll have shipped bespoke agents – custom-built, integrated into real enterprise workflows, live in production. If you can't describe what you built, why you built it that way and what changed as a result, this isn't the right role.
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It's also not a programme management role. Process discipline matters here, but it's table stakes – the differentiator is genuine, hands-on experience delivering agentic AI solutions and enough technical depth to operate credibly inside a fast-moving AI engineering environment.
The Role for AI Product Manager – Agentic Systems (Bespoke AI Agents):
- Deconstruct business processes across the organisation and identify where bespoke agentic automation genuinely fits – and where it doesn't.
- Define, scope and prioritise AI agent deployments – owning them from concept through build to live enterprise rollout.
- Work day-to-day with the Director of AI Engineering and Principal AI Lead – you understand what the engineers are building and don't need it translated.
- Drive adoption of deployed agents inside real workflows – measuring what changed, iterating on what didn't land.
- Report directly to the Chief AI Officer, keeping the portfolio visible – progress, risks and blockers surfaced early, in plain commercial language.
- Bring enough structure to keep multiple workstreams moving without imposing ceremony or unnecessary process overhead.
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Experience Required for AI Product Manager – Agentic Systems (Bespoke AI Agents):
- Hands-on experience deploying bespoke AI agents into enterprise workflows – not proofs of concept, not out-of-the-box tools. Production deployments you can walk through in detail.
- Proven ability to deconstruct a business process and redesign it around agentic automation.
- Around 3–5 years' experience, with your formative professional years in the LLM era – you think agent-first, not process-first.
- Strong grasp of how modern AI systems are built – LLMs, agent frameworks, integrations – enough to interrogate technical decisions credibly.
- Comfortable presenting to C-suite stakeholders – translating technical progress into clear commercial narratives.
- Hungry, high clarity under ambiguity – you bring structure to evolving workstreams without waiting for perfect information, and you surface bad news early with a proposed fix.
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