Senior AI Engineer – Vice President

Citi • Mississauga, ON

1d • CA$120,800 - CA$170,800 • Hybrid

About The Position

Citi, a leading global bank with approximately 200 million customer accounts in over 160 countries, provides a broad range of financial products and services to consumers, corporations, governments, and institutions. The bank's Enterprise Operations & Technology division underpins these offerings, delivering secure, reliable, and efficient technology solutions that are foundational to managing global resources, ensuring safety, and providing a first-class customer experience. This reflects Citi's mission to create economic value that is systemically responsible and in its clients’ best interests. Fostering a culture of diversity and inclusion, Citi is committed to a workforce that represents the clients it serves. The company values respect promotes individuals based on merit, and ensures opportunities for personal development are widely available. Ideal candidates are passionate, innovative problem-solvers who contribute to a culture of delivering results with pride and are empowered to enable growth and progress together with the firm. Citi is looking for a Senior AI Engineer (Applications Development Technology Lead Analyst - C13) to design and deploy intelligent, autonomous AI agents that solve complex, real-world problems at the intersection of finance and cutting-edge technology. In this senior individual contributor role, you will translate research into production-grade agentic systems, working alongside AI researchers, data scientists, and engineers to embed autonomous AI capabilities into Citi's technology ecosystem. Your work will directly shape how Citi leverages AI to automate workflows, enhance decision-making, and deliver scalable solutions across the organization.

Requirements

• 6+ years of professional software development experience, with a focus on AI, machine learning, or agent-based systems.
• Proficiency in Python and SQL, with the ability to build and maintain production-quality AI systems.
• Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch, and libraries including Scikit-Learn, NumPy, and Pandas.
• Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
• Experience applying software engineering best practices: version control (Git), CI/CD pipelines, automated testing, and code reviews.
• Demonstrated ability to deploy and manage applications on cloud platforms (AWS, Azure, or GCP) using containerization technologies such as Docker and Kubernetes.

Nice To Haves

• Familiarity with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or RAG pipelines, or research experience in multi-agent reinforcement learning.
• Experience working in the financial services industry.
• Proficiency in Java as an additional programming language.

Responsibilities

• Design and build intelligent AI agents — covering perception, reasoning, planning, and action execution — that operate autonomously to solve high-impact business challenges.
• Architect scalable, high-performance agentic systems that meet rigorous standards for reliability, security, and production readiness.
• Integrate large language models (LLMs), reinforcement learning, and predictive models to expand agent capabilities and sharpen decision-making.
• Develop agents that automate complex workflows and optimize processes across multiple business domains, translating research concepts into robust, deployable solutions.
• Define and implement evaluation frameworks and performance metrics to continuously measure, optimize, and improve agent behavior.
• Collaborate with cross-functional teams — including AI researchers, data scientists, and product managers — to embed agentic solutions into broader products and services.
• Partner with engineering and architecture teams to ensure AI system designs align with Citi's overall technology strategy and standards.
• Produce clear, comprehensive technical documentation covering agent designs, implementations, and operational procedures.
• 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.

Benefits

• Hybrid working model — 3 days in the office and 2 days working remotely, giving you flexibility without sacrificing collaboration.
• Ownership of high-impact AI initiatives, with the autonomy to shape technical direction and influence how Citi adopts agentic AI at scale.
• Access to continuous learning and development resources, keeping you at the forefront of AI research and engineering practice.
• Collaboration with world-class AI researchers, data scientists, and engineers across a truly global organization.
• Competitive compensation and a comprehensive benefits package designed to support your financial wellbeing and long-term security.
• Wellbeing and family support programs that help you thrive both inside and outside of work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior