Citi Logo

Citi

AI Data Engineer

Posted Yesterday
Be an Early Applicant
In-Office
Mississauga, ON, CAN
Senior level
In-Office
Mississauga, ON, CAN
Senior level
Design and deploy AI-powered applications, agentic workflows, and enterprise automation solutions. Build data pipelines, APIs, microservices, and AI components using Python, SQL, and related technologies. Integrate LLMs, machine learning models, RAG, embeddings, vector databases, and agent frameworks in a regulated financial-services environment. Collaborate with architects, product owners, data scientists, and engineers while documenting solutions and researching emerging AI capabilities.
The summary above was generated by AI

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

------------------------------------------------------

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.

------------------------------------------------------

This job opening is for an existing job vacancy.

------------------------------------------------------

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.

Similar Jobs

10 Days Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, improve reliability and quality, and mentor engineers. Build and monitor production LLM and agent systems, automate workflows with AI, and deliver high-quality Python and SQL while validating AI-generated code. Partner with Marketing, Sales, BI, Data Science, and R&D teams.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEtl/EltLakehousesLlmsMarketing AutomationMartechPythonSalesforceSemantic LayersSnowflakeSQLStreamlitWeb Analytics
Yesterday
Remote or Hybrid
CA
Senior level
Senior level
Artificial Intelligence • Software • Generative AI
Build data and evaluation systems for Glean’s AI products, including benchmark datasets, scalable eval infrastructure, agent observability, LLM-based verifiers, CI and production evaluation pipelines, and enterprise simulation environments. Analyze traces and failures, measure quality with statistical rigor, and translate findings into product improvements. Partner with research, engineering, product, and go-to-market teams to improve agent performance while balancing quality, latency, and cost.
Top Skills: APIsCi/CdGoLlmsOpentelemetryPythonRagSQLTypescript
3 Days Ago
In-Office
Mississauga, ON, CAN
Junior
Junior
Information Technology • Logistics • Software
Designs and builds scalable data platforms and pipelines supporting AI products. Develops Spark, Python, Scala, Dask, and Argo workflows; creates data validation and performance tests; automates high-volume and real-time data delivery; operationalizes pipelines for data science and analytics; and optimizes cloud resource usage. The role also oversees other engineers and communicates technical solutions to clients and internal teams.
Top Skills: Apache AirflowSparkArgoAzureAzure Data FactoryDaskGoGoogle Cloud PlatformInformaticaLinuxMariadbMongoDBMySQLPostgresPythonRedisScalaSQL

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account