Citi’s Banking Technology organization is seeking a highly hands‑on AI Applied Senior Engineering Lead to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset, emphasizing rapid prototyping, MVP‑driven development, and iterative delivery of production‑grade AI capabilities.

AI Solution Development: Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability. Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Drive an MVP‑first, rapid‑iteration approach with continuous experimentation and improvement. Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.

Research, prototype, and integrate advances in agent‑based, autonomous, and generative AI technologies.

Technical Collaboration: Contribute hands‑on within cross‑functional teams and provide technical guidance and mentorship to junior engineers. Ensure AI solutions are well‑aligned to banking and financial services requirements, constraints, and business outcomes.

Programming: Solid proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). AI/ML Expertise Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems. Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas).





Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity.

Software Engineering: Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.

Experience designing API‑first, microservices‑based and event‑driven architectures, including data engineering patterns for AI systems. Strong analytical skills with the ability to clearly communicate complex technical concepts. Solid understanding of banking/financial services and regulated environments.

Nice to Have: Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers. 10+ years of progressive software engineering experience with a strong hands‑on coding background. ~2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning. ~ Demonstrated experience delivering enterprise‑scale AI capabilities into production. Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline. Full time Primary Location Full Time Salary Range $Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.

Our automated processing and AI do not involve relying on automatic or autonomous decision‑making. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster. #

📌 AI Applied Senior Engineering Lead (Mississauga)
🏢 Citi
📍 Mississauga