Posted 16 days ago
AI Data Engineer
@ Citi Canada Technology Services ULC
Mississauga, Ontario
Overview
Citi Canada Technology Services ULC is hiring a full-time AI Data Engineer to design, develop and deploy AI-powered applications and agentic solutions. The role is hands-on, combining software engineering, data engineering and AI/ML work within a regulated financial services environment, with a salary range of $94,300 to $141,500.
Responsibilities:
- Design and implement intelligent agents and their perception, reasoning, planning and action modules
- Design and develop data pipelines supporting AI and machine learning workloads
- Integrate LLMs, reinforcement learning and predictive models into agents
- Develop production-grade Python and Java applications, APIs and microservices
- Create technical documentation for agent designs and operations
Requirements summary:
- 5+ years of professional software development experience
- 2+ years working with AI/ML, generative AI or intelligent automation
- Strong proficiency in Python and SQL; Java is an asset
- Experience with LLM applications, RAG, embeddings, vector databases and agentic frameworks
- Experience with cloud platforms and containerization (Docker, Kubernetes)
- Financial services experience preferred
Tools & skills
Source and dates
Employer career site / ATS feed · workday
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-23
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Citi Canada Technology Services ULC
| Field | Value |
|---|---|
| Open jobs on Jobsy | 168 |
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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