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.