We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery capabilities. This role is primarily hands-on and requires strong software engineering, data engineering, and AI/ML expertise with a focus on building scalable enterprise solutions.

The successful candidate will work closely with architects, product owners, data scientists, and engineering teams to implement AI-driven capabilities including LLMs, Agentic AI workflows, Retrieval-Augmented Generation (RAG), and intelligent automation solutions within a regulated financial services environment.

Key Responsibilities:

- Agent Design and Development: Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules.
- Data Engineering & Integration: Design and develop data pipelines supporting AI and machine learning workloads. Ensure data quality, lineage, governance, and security requirements are met.
- Machine Learning Integration: Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities and decision-making.
- Software Engineering: Develop production-grade applications and APIs using Python and/or Java. Build reusable services, microservices, and AI components.
- Framework and Tooling: Utilize and contribute to agentic AI frameworks and development tools.
- Research and Innovation: Stay abreast of the latest advancements in AI, particularly in agent-based systems, autonomous AI, and related fields, and propose cutting-edge solutions.
- Collaboration: Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate agentic solutions into broader products and services.
- Documentation: Create comprehensive technical documentation for agent designs, implementations,



and operational procedures.

Required Qualifications:

- Experience: 5+ years of professional experience in software development. 2+ years working with AI/ML, Generative AI, or intelligent automation solutions. Financial services experience preferred.
- Programming: Strong proficiency in Python, SQL; Java is a plus.
- AI/ML Expertise:
- Experience working with Generative AI and LLM-based applications.
- Knowledge of Prompt Engineering, RAG, embeddings, vector DBs, and agentic frameworks.
- Familiarity with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
- Experience utilizing OpenAI, Azure, Anthropic, Gemini, Bedrock, or equivalent platforms.
- Understanding of machine learning fundamentals and model evaluation technique.

- Data Engineering: Experience designing and supporting data pipelines and data integration workflows.
- Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.
- Communication: Solid written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
- Platforms: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Domain - Finance preferable
- Collaboration - Able to collaborate within and across teams and organizations

Education:

- Bachelor's degree/University degree or equivalent experience

Full time

$94,300.00 - $141,500.00

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 Data Engineer (Mississauga)
🏢 Citigroup
📍 Mississauga