AI Engineering Manager

We are seeking an AI Engineering Manager to build and lead a new AI team within a product-led software development environment. You will shape strategy and execution for AI-powered features and internal AI capabilities, ensuring measurable customer outcomes, high-quality delivery, and scalable engineering practices. Location & Package Location: 2 days a week (Hybrid), London, United Kingdom Salary: £100,000 – £125,000 per year Key Responsibilities Build and lead a new AI team, setting direction, standards, and ways of working. Own end-to-end delivery of production AI systems, from discovery to launch, monitoring, and iteration. Partner closely with customers and internal stakeholders to translate business needs into technical deliverables. Drive agentic workflows and AI tooling adoption across the product development lifecycle to deliver tangible value. Establish robust evaluation, observability, and quality practices for AI systems, balancing speed with reliability. Guide teams through ambiguity and rapid change, making pragmatic decisions and removing blockers. Measure success by customer outcomes, not just features shipped. Experience Required Experience leading engineering teams that build and scale end-to-end production systems. People leadership rooted in a software engineering background, with strong experience implementing AI internally within small to medium-sized product-led organisations. Deep understanding of current AI tooling and the agentic workflow landscape, and how these approaches create value in product development. Hands-on experience with AI models, tools, and frameworks, including agent orchestration, prompt engineering, RAG pipelines, evaluation frameworks, LangChain, Codex, Claude, Gemini, and observability tools and best practices. Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments. Excellent communication skills across technical and non-technical audiences. A leadership style that blends high standards with empathy, fostering both speed and quality. Proven ability to work closely with customers and translate needs into high-impact deliverables. What You’ll Bring A track record of delivering reliable AI-enabled products or platforms in production. Sound engineering judgement around security, privacy, and responsible AI practices. Coaching and mentoring capability to develop engineers and create a strong team culture.41bf1e1f-b16b-4260-a40a-17c77a06fd15…