Python AI Engineering - Assistant Vice President

Citi; New York (NY); Hybrid; USD 68,000 - 103,000; Full time

Job summary

Citi is seeking a Python AI Engineer AVP in Mississauga for designing, building, and maintaining robust AI-enabled data pipelines within the Retail and Wealth Risk Engineering team. You will deploy scalable data solutions, leverage the Databricks ecosystem, and drive ML/AI use cases across enterprise platforms.

The role requires strong Python/PySpark expertise, experience with ELT/ETL, and collaboration across DevOps, data teams, and risk stakeholders.

Qualifications

• 5-8 years in large-scale application development with AI deployment.
• 5+ years leading Python and PySpark engineering for ELT/ETL.
• Hands-on agentic AI development with YAML/JSON and LLM integrations.
• Proven experience building data-intensive microservice integrations.

Responsibilities

• Design, develop, and maintain scalable AI agents and ELT/ETL pipelines.
• Build GEN AI agents using Google ADK and LLMs for automation and insights.
• Develop data federation layers for Data Mesh and lambda architectures.
• Automate microservices integrations with cloud-native infra and CI/CD.
• Adhere to data quality, security, and regulatory requirements.

Skills

Python

PySpark

SQL

Data engineering

ELT/ETL

Cloud basics

Communication

Googles ADK

Education

Bachelor's in CS/Engineering

Master's degree preferred

Tools

Databricks

Kubernetes

Docker

Spark

Starburst

Job description

Python AI Engineering - Assistant Vice President

Mississauga, Ontario, Canada

Hybrid

$94,300.00 - $141,500.00

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

We are seeking a highly motivated and experienced Python AI Engineer to join our Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms.

Responsibilities

• Design, develop, and maintain scalable, enterprise-grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices, PySpark, Kafka and Databricks ecosystem.

• Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.

• Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency.

• Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and OpenShift or Kubernetes architecture including CI/CD pipelines.

• Integrate and leverage agentic AI tools (e.g., Devin.AI, GitHub Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.

• Ensure data quality, integrity, and security throughout the entire data lifecycle.

• Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.

• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and elevate, manage, and report control issues with transparency.

Required

• 5-8 years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts

• Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem.

• Hands‑on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM integrations, including Devin.AI or GitHub Copilot, and integrating models via platforms like MCP using advanced prompt engineering.

• Proven experience developing and automating microservice integrations to support data-intensive applications.

• Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala.

• Strong SQL skills and experience with various relational databases.

• Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.

• Excellent communication, collaboration, and problem-solving skills.

Preferred

• Experience with cloud-based Big Data platforms (e.g., Cloudera, Databricks, AWS, Azure, GCP).

• Experience with frontend technologies such as Angular or React JS for building data-driven application interfaces.

• Practical experience applying AI/ML techniques to solve real-world business problems.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).

• Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

Education

• Bachelor’s degree in computer science, Engineering, or a related field.

• Master’s degree is a plus.

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 (opens in new window).

View Citi’s EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.