AI Data Engineer
At a glance
Mid-level Data Engineering role at Citi. Mississauga Ontario Canada · full-time · CA$94,300–CA$141,500 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build intelligent agents that handle perception, reasoning, planning and actions
- Create data pipelines for AI workloads, maintaining data quality, lineage, governance and security
- Connect language models and other machine-learning approaches to agent decisions
- Develop production applications, APIs, reusable services and AI components in Python or Java
- Work with product and engineering partners, document agent designs and track developments in agent-based AI
What you bring
- At least five years in professional software development and two years applying AI, machine learning or generative AI
- Strong Python and SQL skills, plus hands-on work with generative AI and applications built around large language models
- Experience with data pipelines and integration workflows, along with cloud platforms and container technologies
- A bachelor's degree or equivalent experience; financial services background is preferred
Who this fits
This hands-on role suits a mid-level engineer who can build enterprise AI applications and collaborate across technical teams. The position is hybrid in Canada.
From the employer
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 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.
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: 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).
- Domain – Finance preferable
- Collaboration – Able to collaborate within and across teams and organizations
Education:
- Bachelor’s degree/University degree or equivalent experience
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location Full Time Salary Range:
$94,300.00 - $141,500.00------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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This job opening is for an existing job vacancy.
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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.
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