Senior Platform Engineer (Python/AI) - Assistant Vice President

Citi; New York (NY); Hybrid; USD 41,000 - 72,000; Full time

Job summary

Citi seeks a hands-on Senior Platform Engineer (Python/AI) to lead end-to-end platform components for an agentic AI platform supporting the credit risk model development lifecycle.

You will design, develop, and deploy production-grade Python components, orchestrations, RAG systems, and MCP interfaces while integrating with data sources, APIs, and LLM providers. A globally distributed, hybrid team will collaborate to deliver high-impact solutions.

Qualifications

• 8–12 years of hands-on software engineering experience.
• Proficiency in Python and its data processing libraries.
• Experience with GenAI concepts such as LLMs, RAG, MCP, and agentic platforms (e.g., Google ADK).
• Hands-on work with REST APIs, SQL/databases, Unix-based and containerized environments.
• Ability to influence technical direction and champion best practices within an engineering team.
• Excellent communication to translate business needs into technical requirements for technical and non-technical stakeholders.
• Ability to collaborate effectively with geographically distributed teams across time zones.

Responsibilities

• Take end-to-end ownership of discrete platform modules and drive them to completion.
• Build proofs-of-concept and prototypes to validate approaches quickly.
• Design, develop, and ship production-grade Python components for the agentic AI platform.
• Champion engineering best practices — clean code, automated testing, CI/CD, logging, monitoring.
• Build secure integrations with internal data sources, external APIs, and LLM providers.
• Invest in self-learning to stay current with GenAI and LLM technologies.

Skills

Extensive software engineering

Python

Generative AI

Backend & systems fundamentals

Technical influence

Excellent communication

Global collaboration

Tools

Google ADK

Job description

Senior Platform Engineer (Python/AI) - Assistant Vice President

Location(s)

Pune, Maharashtra, India

Job Type

Hybrid

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team 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

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models.

We are seeking a hands-on senior engineer to be a key contributor to this transformation. In this role, you will work closely with quantitative analysts and key stakeholders to understand and shape high-impact use cases and collaborate within a talented engineering team to design, build, and deploy the generative AI platform that brings this vision to life.

Key Responsibilities

• Take end-to-end ownership of discrete platform modules and drive them to completion, exercising sound judgement and initiative to navigate ambiguity and drive progress independently, with minimal supervision.
• Build proofs-of-concept and working prototypes to validate technical approaches early, iterating quickly based on stakeholder feedback in a fast-moving, discovery-driven environment.
• Design, develop, and ship production-grade Python components for the agentic AI platform — orchestration pipelines, RAG systems, LLM integrations, and MCP-based tool interfaces.
• Champion engineering best practices — clean code, automated testing, CI/CD, logging, and monitoring
• Build and maintain secure integrations with internal data sources, external APIs, and LLM providers in compliance with Citi's data governance and security standards
• Actively invest in self-learning to keep pace with the rapidly evolving GenAI and LLM landscape, bringing emerging tools and techniques to the team.

Must-Haves

• Extensive Software Engineering Experience: 8-12 years of hands-on experience designing, building, and shipping complex, scalable software systems to production.
• Expertise in Python: Deep proficiency in Python and its ecosystem of libraries for backend development and data processing.
• Generative AI Knowledge: An appetite to learn and apply GenAI concepts such as LLMs, RAG, and MCP, and agentic platforms such as Google ADK, with some evidence of prior exploration in these areas being a plus.
• Backend & Systems Fundamentals: Hands-on experience with REST APIs, SQL/databases, and Unix-based as well as containerized environments
• Technical Influence: Demonstrated ability to contribute to technical direction and champion best practices within an engineering team.
• Excellent Communication: Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders and to translate business needs into concrete technical requirements.
• Global Collaboration: Demonstrated ability to work effectively with geographically distributed teams across multiple time zones.

Nice-to-Haves

• Broader Language Proficiency: Experience with Java/C++ in addition to Python.
• Full-Stack Experience: Familiarity with front-end technologies and developing user interfaces for technical workflows.
• Financial Domain Knowledge: Experience in the financial services industry, particularly in the context of quantitative finance, risk management, or Model Risk Management (MRM).
• Familiarity with Model Development: Understanding of the market and/or credit risk model development lifecycle (e.g., for PD, LGD, EAD models) and associated regulatory requirements (e.g., SR 11-7, CCAR, CECL, etc.).
• Regulated Environments: Experience building auditable and compliant software within a highly regulated environment.

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.