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.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.Software Engineering: Develop production-grade applications and APIs using Python and/or Java.

Build reusable services, microservices, and AI components.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 innovative 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.Experience: 5+ years of professional experience in software development.



2+ years working with AI/ML, Generative AI, or intelligent automation solutions.

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.Understanding of machine learning fundamentals and model evaluation technique.Data Engineering: Experience designing and supporting data pipelines and data integration workflows.Excellent analytical and problem-solving skills with a creative approach to complex challenges.Communication: Strong 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).Bachelor’s degree/University degree or equivalent experienceJob Family Group: Full timePrimary 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 chance 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 (Winnipeg)
🏢 Citigroup
📍 Winnipeg