AI Engineering Lead

Join us as an AI Engineering Lead for Barclays Private Bank and Wealth Management, where you lead the design, deployment, and governance of AI-enabled solutions, supporting the adoption of Agentic AI across the organisation to enhance front-office productivity, improve client experiences, and unlock new revenue opportunities.

The role will include; leading engineering teams delivering AI and cloud-based solutions, defining technical approaches and deployment strategies for AI-enabled platforms, and working closely with stakeholders across business, architecture, risk, and security functions to ensure successful delivery of strategic initiatives.

To be successful as an AI Engineering Lead, you should have:

• Proven experience working across security, governance, architecture, and business stakeholders, navigating complex enterprise environments.
• Demonstrated experience deploying and managing applications on AWS, including Amazon Bedrock, Lambda, API Gateway, and related services for scalable AI solutions
• Familiarity with ML model deployment pipelines, monitoring, versioning, and automated testing frameworks for AI applications

Some other highly valued skills may include:

• Experience with vector stores (Pinecone, Weaviate, or AWS OpenSearch) and semantic search implementations for context-aware AI applications
• Experience building RESTful or GraphQL APIs and designing scalable, event-driven architectures for AI-powered services
• Proven ability to design, test, and optimise prompts for Anthropic models, including implementing RAG (Retrieval-Augmented Generation) patterns and managing model interactions