Python Engineering AI Lead - Assistant Vice president

Citi; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Citi seeks a Principal Engineer to join the Retail and Wealth Risk Engineering team under the Enterprise Risk Technology platform. You will design, build, and maintain scalable data pipelines and AI-driven solutions that support secure, enterprise-grade data operations.

The role emphasizes Python/PySpark, data mesh/data federation, cloud-native architectures, and integration of agentic AI tools to enhance development and operations. Strong SQL and data modeling knowledge are essential.

Qualifications

• 8+ years of overall experience in large-scale application development with recent platform for secure deployment of AI agents
• 5+ years of Python and PySpark engineering leading enterprise-grade ELT/ETL
• Hands-on with agentic AI development using YAML/JSON/FAST API/Spring, Google ADK, LLM integrations
• Proven experience automating microservice integrations for data-intensive apps
• Proficiency in Python or Scala and strong SQL skills

Responsibilities

• Design, develop, and maintain scalable data pipelines and AI agent integrations
• Build and deploy GEN AI agents using Google ADK and LLMs for automation and insights
• Develop data federation layers for lambda and Data Mesh architectures
• Automate microservice integrations and CI/CD pipelines for cloud-native infra
• Ensure data quality, integrity, and security across data lifecycle
• Drive continuous improvement of data engineering processes and standards

Skills

Python

PySpark

SQL

Data Modeling

Microservices

Education

Bachelor’s degree in Computer Science/Engineering

Master’s degree

Tools

Databricks

Kubernetes

CI/CD pipelines

Starburst

Cloud platforms (AWS/Azure/GCP)

Job description

We are seeking a highly motivated and experienced Principal 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-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 recentmandatory 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 the Py** Spark and Databricks ecosystem**.

• Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, 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

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.