Python Engineering AI Lead - Assistant Vice President

Job Description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a group of approximately 219,000 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.

Job Overview

We are seeking a highly motivated and experienced

Principal Engineer

to join our

Retail and Wealth Risk Engineering

group under the

Enterprise Risk Technology

platform. This is an intermediate-level position tasked with designing, building, and upholding 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 applicant 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, establish, and sustain scalable, enterprise-grade

AI agents

, assisting 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 back up application automation supports and its deep insights, workflow back up with HIL - Human in loop architecture.

Build and sustain 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.

Establish, deploy, and automate microservice integrations to back up data-intensive applications, making sure 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.

Make sure 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 group.

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, oversee, 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 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

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 building and

automating microservice integrations

to back up data-intensive applications.

Proficiency in at least one programming language commonly used for data analytics, engineering, such as

Python or Scala

.

Strong SQL capabilities and experience with various relational databases.

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

Outstanding communication, collaboration, and problem-solving capabilities.

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.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Capabilities

Please see the qualifications listed above.

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Other Relevant Capabilities

For complementary capabilities, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified applicants 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.

This opening is for the Python Engineering AI Lead - Assistant Vice President position in Pune.