VP, AI Engineer - Banking Tech; Hybrid

Senior AI Engineer, Banking Technology – Vice President

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Job Req :

Location(s):

Mississauga, Ontario, Canada

Job Type:

Hybrid

Posted:

May. 18, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Role Overview

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI Engineer to design, build, and deploy cutting‑edge AI solutions across 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.

Responsibilities:

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements

• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards

• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint

• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation

• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals

• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions

• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

• 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., OpenAI, Anthropic, Google APIs).

• Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, Git Hub Copilot, Antigravity).

• 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.

• 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

Qualifications:

• 6–10 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.

• Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/Type Script (Angular, Node.js). Full‑stack experience is a plus.

• Solid understanding of core AI concepts such as knowledge…