Lead AI Engineer - Enterprise AI Products

London Source: WhatJobs

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Overview

As Lead AI Engineer at Citi’s Enterprise AI Products team, you combine hands-on engineering with architectural leadership to deliver AI platforms that solve real business problems. You will partner with senior stakeholders to translate needs into scalable, production-grade solutions and help shape the platform strategy and roadmap. The role offers exposure to Generative AI, AI Agents, and modern AI engineering in a fast-moving environment. You will influence technical direction while delivering impact through cross-functional collaboration and robust development practices.

Pay / Benefits

27 days annual leave (plus bank holidays)
discretional annual performance bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave

Responsibilities

Own and lead technical components end-to-end aligned with business and product objectives
Collaborate with senior business and technology stakeholders to translate problems into technical solutions
Shape roadmaps, technical strategy, and priorities with the team lead and stakeholders
Design, develop and implement scalable, production-quality solutions using sound engineering and architectural principles
Build 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 across modern AI and platform technologies
Provide technical leadership, mentoring and team development
Drive engineering quality through code reviews, design reviews, testing and CI/CD practices
Ensure solutions meet Citi’s risk, security and compliance requirements while integrating with wider platforms

Key requirements

Senior Developer, Technical Lead, Lead Engineer or similar senior role
Strong object-oriented programming, software architecture and technical design
Hands-on Python and/or Java development (both desirable)
Experience with Generative AI and AI Agents; Google ADK preferred
Practical experience with Model Context Protocol (MCP)
Strong REST APIs, networking, databases, and CLI tooling; Postgres/Oracle experience preferred
CI/CD and modern DevOps tooling (Jenkins, uDeploy, Tekton, Harness or equivalent)
Ability to shape technical strategy and roadmaps; engage with senior stakeholders
Comfort working with non-technical stakeholders to translate business needs
Strong problem-solving, communication and presentation skills
Experience providing technical leadership, mentoring or line management
Desirable: Neo4j or graph DBs, UX/front-end, broader AI platform tech
Education: Bachelor’s degree in Computer Science, Engineering or related discipline