At a Glance
- Tasks: Lead a new AI team and drive innovative AI-powered features.
- Company: Join a product-led software development company focused on AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Foster a strong team culture with coaching and mentoring opportunities.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Experience in leading engineering teams and implementing AI solutions.
The predicted salary is between 80000 - 100000 £ per year.
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: 2 days a week (Hybrid), London, United Kingdom
- 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.
- 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.
- Measure success by customer outcomes, not just features shipped.
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.
A leadership style that blends high standards with empathy, fostering both speed and quality.
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.
Engineering Manager, Data Services (Remote) in City of London employer: Gravitas Recruitment Group (Global) Ltd
As an Engineering Manager at our innovative company, you will thrive in a dynamic and collaborative work culture that prioritises employee growth and development. With the flexibility of a hybrid working model in London, we offer competitive benefits and a commitment to fostering a diverse and inclusive environment where your contributions directly impact customer success and product excellence.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
