Lead AI Engineer - Enterprise AI Products

• Own and lead technical components end-to-end, ensuring alignment with business and product objectives.
• Work directly with senior business and technology stakeholders to understand problems and translate them into technical solutions.
• Shape product roadmaps, technical strategy and priorities alongside the team lead and wider stakeholders.
• Design, develop and implement scalable, production-quality solutions using sound engineering and architectural principles.
• Build and develop AI solutions, including Generative AI and Agentic AI using Google ADK.
• Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers.
• Write high-quality code in Python and/or Java, working across modern AI and platform technologies.
• Provide technical leadership, mentoring and guidance to other engineers and contribute to team development.
• Drive engineering quality through code reviews, technical design reviews, testing and robust CI/CD practices.
• Ensure solutions meet Citi's risk, security and compliance requirements while integrating effectively with wider technology platforms.

We are looking for a seasoned Lead AI Engineer to combine hands-on engineering and architecture with strong business engagement. You will work directly with business partners to understand real-world problems, translate them into technical solutions and support successful delivery and adoption of our AI platforms.

This is a senior role within a deliberately flat team where you will have significant ownership and influence. You will help shape the platform strategy and roadmap, while gaining exposure to Generative AI, AI Agents and modern AI engineering in a fast-moving environment.

• Proven experience as a Senior Developer, Technical Lead, Lead Engineer or 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/service integration is highly desirable.
• Strong understanding of REST APIs, networking, databases and CLI tooling, with Postgres/Oracle experience preferred.
• Experience with CI/CD and modern DevOps tooling such as Jenkins, uDeploy, Tekton, Harness or equivalent.
• Demonstrable ability to shape technical strategy and roadmaps and influence senior stakeholders.
• A genuine interest in understanding business problems and working closely with non-technical stakeholders - we are looking for engineers who are as comfortable in a conversation about business needs as they are in a code review.
• Strong problem-solving, communication and presentation skills, with the confidence to engage directly with business and technology leaders.
• Experience providing technical leadership, mentoring or line management within software engineering teams.
• Desirable: Experience with Neo4j or other graph databases, UX/front-end development, and broader AI platform technologies.
• Education: Bachelor's degree in Computer Science, Engineering or a related discipline preferred; graduate-level or continuing education is a plus.