Citigroup, Inc

Python AI Engineering - Assistant Vice President

Citigroup, Inc$94K — $141K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years of experience in large-scale application development with a focus on AI deployment.
  • Minimum 5+ years as a Python and PySpark Engineering lead for high-volume ETL processes.
  • Hands-on expertise in agentic AI development, including YAML, JSON, and Google ADK integration.
  • Proven ability in automating microservice integrations for data-intensive apps.
  • Proficiency in programming languages like Python or Scala for data analytics.
  • Strong SQL skills with experience in relational databases.
  • Deep knowledge of data modeling, Data Mesh architecture, and data federation.

Responsibilities

  • Design and maintain enterprise-grade AI agents for scalable data processing.
  • Build and deploy GEN AI agents with Google ADK to support automation tasks.
  • Create data federation layers using Starburst for AI-based applications.
  • Automate microservice integrations while ensuring scalability and resilience.
  • Leverage agentic AI tools through advanced prompt engineering to enhance operations.
  • Ensure data quality and security throughout its lifecycle.
  • Contribute to improving data engineering processes and best practices.

Benefits

  • Access to learning and development resources.
  • Opportunities for professional growth across a leading global bank.
  • Supportive work environment fostering collaboration and innovation.
  • Comprehensive health and wellness programs.
  • Flexible working arrangements to promote work-life balance.
Full Job Description
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 escalate, manage, and report control issues with transparency.


Qualifications

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.


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.

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ

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