At a Glance
- Tasks: Lead a new AI team and deliver innovative AI-powered features.
- Company: Dynamic software development company focused on AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a fast-paced team with a focus on innovation and customer success.
- Why this job: Shape the future of AI in a collaborative environment and make a real impact.
- Qualifications: Experience in leading engineering teams and delivering AI systems.
The predicted salary is between 100000 - 125000 £ 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
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‑size 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.
AI Engineering Manager in London employer: Gravitas Group
As an AI Engineering Manager at our London-based company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer competitive salaries, flexible hybrid working arrangements, and ample opportunities for professional growth, ensuring that you can lead a talented team while making a significant impact on AI-powered solutions. Join us to be part of a forward-thinking organisation that values your expertise and fosters a supportive environment for continuous learning and development.
