• Agent architectures: how agent builders actually work, the loop of an LLM reasoning, calling tools and observing results, and where that pattern breaks down at enterprise scale
• Harnesses and orchestration: current approaches to wrapping raw model calls into reliable, observable, governable agent behaviour, including state management, planning, memory, sub agents and multi step task execution, and familiarity with protocols such as MCP for connecting agents to enterprise systems
• Multi model and model agnostic design: how to route across models by task, cost and capability rather than building around a single provider, and the tradeoffs involved in doing that horizontally across many use cases at once
• Tool use and integration patterns: function calling, retrieval augmented generation, structured outputs, and how agents interact safely with enterprise systems of record
• Evaluation and reliability: how you actually test, benchmark and monitor agentic systems in production, including hallucination management, guardrails and human in the loop design where it matters
• Security specific to agentic systems: prompt injection, sandboxing, permissioning of tool access, and the additional attack surface agents introduce compared to traditional software
• The competitive and technical landscape more broadly: who is building what, where the frontier labs are heading, what the open source agent ecosystem looks like, and how that shapes product and architecture decisions

What you'll be doing as the Chief Technology Officer, Agentic AI:

• Owning technical architecture and the engineering roadmap in the UK, in close partnership with the General Manager and global CTO function
• Building and leading a forward deployed engineering team, hiring people who can sit inside client environments and turn agentic AI into production value under real constraints
• Providing deep technical credibility in enterprise sales cycles, joining the General Manager for the discussions that require genuine architectural depth, and being trusted to run technical workstreams independently once relationships are established
• Translating fast moving developments in agent builders, harnesses and multi model orchestration into what the platform should actually do next
• Acting as the credible technical voice in security, data governance and AI risk conversations (frameworks such as ISO 27001, ISO 42001, SOC 2, GDPR and sector specific expectations), particularly during procurement and due diligence with regulated buyers
• Splitting your time roughly between client sites and internal architecture and team building work, with regular travel to be in person with clients and their technical teams during live deployments
• Operating with real adaptability inside a fast growing, still forming organisation, bringing technical rigour without slowing down the pace

As the Chief Technology Officer, Agentic AI, we are looking for:

• A technologist who is genuinely, demonstrably AI native, with hands on depth in agentic systems rather than surface familiarity
• Direct experience of forward deployed engineering, applied AI consulting, or solutions engineering inside large enterprise accounts
• Sharp enough to walk into a room with a bank's most senior technical people and be taken seriously within minutes, and adaptable enough to read the room and adjust
• A track record of building and scaling technical teams inside high growth environments
• Comfort with ambiguity, rapid change and the chaos that comes with genuine hypergrowth

If this sounds like you, or you know someone it describes well, then please get in touch.