Python Engineering AI Lead - Assistant Vice President

Citigroup Inc.; Chennai District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Citigroup Inc. is seeking a Principal Engineer to join the Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform in Chennai.

The role focuses on designing and building scalable data pipelines, AI agent deployments, and data federation strategies to support risk analytics and business growth. You will lead ELT/ETL processes, develop microservice integrations, and apply prompt engineering with agentic AI tools to improve development efficiency while maintaining data

Qualifications

• 8+ years in large-scale application development with modern AI deployment
• 5+ years leading Python/PySpark engineering for ELT/ETL in enterprise context
• Hands-on agentic AI development using YAML/JSON, FAST API, Google ADK, LLM integrations
• Experience integrating microservice architectures for data-intensive apps
• Proficiency in Python or Scala and strong SQL skills
• Data modeling, warehousing concepts, Data Mesh, data federation
• Excellent communication and collaboration skills

Responsibilities

• Design, develop, and maintain scalable AI agents and ELT/ETL processes
• Build and deploy GEN AI agents with ADK and LLMs for deep insights
• Create data federation layers for lambda/Data Mesh architectures
• Automate microservice integrations for data-heavy applications
• Leverage CI/CD pipelines and cloud-native infrastructure (OpenShift/Kubernetes)
• Ensure data quality, security, and governance across data lifecycle
• Drive best practices in data engineering and risk-aware decision making
• Adhere to Citi policies, ethical standards, and control reporting

Skills

Python

PySpark

SQL

Data modeling

Communication

Problem solving

Cloud computing

FastAPI

Spring Boot

Education

Bachelor’s degree in CS/Engineering

Master’s degree (plus)

Tools

Databricks

Google ADK

MCP

DevIn.AI

GitHub Copilot

Kubernetes

Docker

Job description

We are seeking a highly motivated and experiencedPrincipal Engineerto join ourRetail and Wealth Risk Engineeringteam under theEnterprise Risk Technologyplatform. 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-gradeAI 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 Kubernates 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.

Qualifications

Required:

• 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agentsinto 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 thePy Spark and Databricks ecosystem.

• Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, includingDevin.AI or Github Copilot, and integrating models via platforms like MCPusing advanced prompt engineering.

• Proven experience developing andautomating microservice integrationsto support data-intensive applications.

• Proficiency in at least one programming language commonly used for data analytics, engineering, such asPython 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 asAngular 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

Most Relevant Skills

Please see the requirements listed above.

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.

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