AI Lead Engineer, Technical Lead in Mississauga

Citi is hiring an AI Lead Engineer, Technical Lead to build and shape the engineering foundation of its Services AI Platform, a multi-tenant, production-grade ecosystem where agentic AI meets enterprise scale. This player-coach role combines hands‑on coding with technical direction, giving you ownership over a platform built for trust, resilience, and scalability. You will turn complex enterprise workflows into intelligent, automated systems that deliver measurable impact across Citi's global operations.

Responsibilities

• Build full-stack AI platform components using Python and Angular, including large language model fine-tuning interfaces and experiment tracking dashboards.
• Design and optimize multi-tenant intelligent agents using modular orchestration patterns such as ReAct and ReWOO to power scalable, production-ready agentic workflows.
• Build Model Context Protocol servers that enforce clean, decoupled communication layers so agents interact only through defined API boundaries.
• Develop advanced retrieval-augmented generation pipelines, including Knowledge Graph RAG, LightRAG, and RAPTOR hierarchical summary architectures, to enable sophisticated enterprise data retrieval.
• Integrate vector and graph databases such as Neo4j and pgvector to support complex, thematic data retrieval at platform scale.
• Design precise prompt and intent classification logic that prevents workflow collisions and ensures accurate handling of agent instructions.
• Partner with subject matter experts to translate domain knowledge into automated, agent-driven solutions.
• Collaborate with UI and API teams to deliver seamless end-to-end integrations across the platform.

Required Qualifications & Skills

• 10 or more years of software engineering experience, including at least 5 years focused on AI and machine learning solutions delivered in production environments.
• 2 or more years of hands‑on experience in generative AI, including large language model development, retrieval-augmented generation, and prompt engineering.
• 3 or more years leading technical teams and owning end-to-end delivery of complex software or AI platforms.
• Deep practical experience with AWS infrastructure and services for AI and machine learning workloads.
• A demonstrated portfolio of AI solutions deployed into live business environments, showing both technical depth and delivery ownership.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

What We Offer

• Hybrid working model with 3 days in the office and 2 days working remotely, giving you structure alongside genuine flexibility.
• Access to cutting-edge AI infrastructure, tools, and frameworks that keep you at the leading edge of the field.
• Continuous learning and development support, including access to technical training, industry conferences, and structured career growth pathways.
• The opportunity to lead high-impact engineering at global scale, with your work directly influencing how Citi builds and deploys intelligent automation across the enterprise.
• Competitive compensation and a comprehensive financial wellbeing package reflective of a Vice President-level position at a leading global institution.
• Wellbeing support programs that help you maintain balance and perform at your best over the long term.
• Build the AI platform that powers Citi's next generation of intelligent automation — and bring your engineering leadership to one of the most technically ambitious platforms in global financial services.