AI Technical Lead

In this role you lead the design and delivery of AI governance and lifecycle solutions at HSBC. You translate governance needs into scalable, production-ready systems using LLMs, AI agents and knowledge graphs, and you will integrate these solutions with HSBC’s technology ecosystem. You work to ensure secure, compliant, observable, and cost-aware operations for AI-enabled capabilities. This position combines hands-on AI engineering with solution design in a globally impactful financial institution.

• private healthcare for UK-based employees
• enhanced maternity and adoption pay
• contributory pension scheme
• competitive pay and benefits package
• tailored professional development opportunities

• Lead the technical design and delivery of AI governance capabilities aligned with product priorities
• Build and deploy AI-powered applications using LLMs, AI agents, retrieval techniques, workflow orchestration, APIs and enterprise services
• Develop the AI governance knowledge graph and semantic model linking concepts, data, policies, controls and workflows
• Integrate AI solutions with HSBC’s technology ecosystem including the Group AI Platform and reporting layers
• Ensure production quality and responsible operation (testing, security, privacy, reliability, performance, cost, human oversight, traceability, auditability)

• Strong hands-on AI engineering experience with production use of LLMs, AI agents, retrieval-augmented techniques and orchestration frameworks (e.g., LangGraph)
• Strong software engineering capability (Python, API development, automated testing, version control, CI/CD, production observability)
• Proven technical leadership in complex enterprise environments (design reviews, engineering guidance, dependency management)
• Strong solution architecture and systems-integration skills (APIs, workflow automation, modular services, enterprise architecture)
• Practical Responsible AI and governance experience (quality, security, privacy, reliability, explainability, human oversight, auditability)

• Open to diverse viewpoints
• collaboration and stakeholder engagement
• problem-solving under governance constraints
• LLMs
• AI agents
• retrieval techniques