Lead AI Engineer - Enterprise AI Products

Description

The company's Enterprise AI Products team is small and global, and builds AI solutions for the wider bank.

The team works on Agentic AI: enabling data sharing across agent ecosystems, supporting new use cases, and shaping the AI architecture through purpose-built tooling. The work sits where cutting-edge technology meets real business impact.

Responsibilities

• Lead technical components from start to finish, keeping them aligned with business and product goals.
• Work with senior business and technology stakeholders to understand their problems and turn them into technical solutions.
• Help set the product roadmap, technical strategy and priorities with the team lead and wider stakeholders.
• Design, build and implement scalable, production-quality solutions using sound engineering and architecture principles.
• Build Generative AI and Agentic AI solutions using Google ADK.
• Design, build and test AI Agents, including work with Model Context Protocol (MCP) and MCP servers.
• Write high-quality code in Python, Java, or both.
• Mentor and guide other engineers, and help grow the team.
• Raise engineering quality through code reviews, technical design reviews, testing and strong CI/CD practices.
• Make sure solutions meet the company's risk, security and compliance requirements and integrate well with wider technology platforms.

Requirements

• Proven experience as a Senior Developer, Technical Lead, Lead Engineer or a similar senior engineering role.
• Strong expertise in object-oriented programming, software architecture and technical design.
• Strong hands-on development experience in Python and/or Java. Experience with both is highly desirable.
• Experience with Generative AI and AI Agents, ideally including Google ADK.
• Practical experience with Model Context Protocol (MCP) and AI, data or service integration is highly desirable.
• Solid understanding of REST APIs, networking, databases and CLI tooling. Postgres or Oracle experience is preferred.
• Experience with CI/CD and modern DevOps tools such as Jenkins, uDeploy, Tekton, Harness or equivalent.
• Proven ability to shape technical strategy and roadmaps and to influence senior stakeholders.
• Genuine interest in business problems and in working closely with non-technical stakeholders, as comfortable discussing business needs as reviewing code.
• Strong problem-solving, communication and presentation skills, with the confidence to engage business and technology leaders directly.
• Experience leading technically, mentoring or managing people within software engineering teams.
• Desirable: experience with Neo4j or other graph databases, UX or front-end development, and broader AI platform technologies.
• Education: a Bachelor's degree in Computer Science, Engineering or a related field is preferred. Graduate-level or continuing education is a plus.

Conditions

Based in the company London on a full-time contract.

Hybrid working, with up to 2 days a week working from home. The office has a business casual dress code.

Base salary is competitive and reviewed annually.

The company is committed to an inclusive workplace where everyone can bring their whole self to work. Equal opportunity policy statement and Know Your Rights poster are available on request.

Benefits

• A discretionary annual performance-related bonus.
• 27 days of annual leave plus bank holidays.
• Private medical care and life insurance.
• Employee assistance program.
• Pension plan.
• Paid parental leave.
• Special discounts for employees, family and friends.
• Access to the Global Benefits page for more detail.