Morgan McKinley
Head of Artificial Intelligence
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Head of AI Engineering & Innovation
Location: Hybrid - 2 days in London
Salary: £110-120k basic with benefits
Are you passionate about building production-grade AI solutions while shaping the future of enterprise innovation?
We're looking for an experienced Head of AI Engineering & Innovation to lead and grow a high-performing AI function. This is a unique opportunity to define AI strategy, drive technical innovation, and remain hands-on in developing cutting-edge AI products and solutions used by both internal teams and enterprise clients.
You'll play a key role in influencing AI adoption, leading technical delivery, supporting business growth, and establishing best practices across AI engineering.
What you'll be doing
- Define and execute the organisation's AI engineering and innovation strategy.
- Lead and mentor a growing AI engineering team.
- Design, build and deliver AI-powered applications, platforms and internal tools.
- Stay hands-on with software development, architecture and technical problem-solving.
- Work closely with clients and internal stakeholders to design scalable AI solutions.
- Support pre-sales activity through technical proposals, workshops and solution presentations.
- Champion emerging AI technologies and promote innovation across the business.
- Develop reusable frameworks, accelerators and best practices that improve delivery and scalability.
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What we're looking for
- Proven experience leading AI engineering, AI product or innovation teams.
- Strong software engineering background with experience delivering production-ready applications.
- Expert Python development skills, ideally including FastAPI.
- Strong experience with AWS, including services such as Bedrock, Lambda, ECS/EKS, API Gateway and S3.
- Hands-on experience with LangChain, LangGraph, Retrieval-Augmented Generation (RAG), vector databases and multi-agent systems.
- Experience building APIs, AI platforms and intelligent products.
- Knowledge of AI evaluation, observability and monitoring tools such as LangSmith, Promptfoo, Arize or MLflow.
- Understanding of AI testing, governance, safety and security best practices.
- Experience with Docker, Kubernetes, CI/CD pipelines and modern DevOps practices.
- Excellent communication skills with experience engaging technical and non-technical stakeholders.
- Previous experience delivering solutions within regulated industries such as financial services, telecommunications or insurance is advantageous.
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Nice to have
- Azure and Azure AI Services.
- AWS AgentCore.
- MLOps and AI deployment tooling.
- Knowledge graphs and graph databases.
- Low-code, automation or integration platforms.
- Front-end development experience.
- Enterprise architecture or solution design experience.
- Experience creating reusable developer platforms or innovation frameworks.
You'll be successful if you...
- Enjoy balancing strategic leadership with hands-on engineering.
- Can translate complex AI concepts into practical business solutions.
- Thrive in fast-paced environments where innovation is encouraged.
- Have a commercial mindset and enjoy working closely with clients.
- Are passionate about building scalable, real-world AI solutions that deliver measurable value.
What's on offer
- Opportunity to shape and lead an AI engineering capability.
- Work on enterprise-scale AI products and innovation initiatives.
- Influence technical strategy and emerging technologies.
- Collaborative, forward-thinking engineering culture.
If you're excited by the opportunity to build impactful AI solutions while leading a growing engineering function, we'd love to hear from you.
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