AI Python Automation Lead-Vice President

Citigroup Inc.; Gurugram District; On-site; INR 5,500,000 - 10,000,000; Full time

Job summary

Citigroup Inc. seeks a Vice President to lead the AI and Automation team for Third-Party Management in India.

You will guide AI engineers to design, build, and deploy enterprise-grade intelligent solutions, transforming supplier risk assessment and monitoring with Python and Xceptor. You will own the technical strategy, drive end-to-end delivery, and partner with governance, data engineering, and business leaders to scale compliant AI capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline; Master’s preferred.

Responsibilities

• Lead and deliver AI/automation programs for Third-Party Management across vendor risk domains.
• Oversee end-to-end AI solution delivery from ideation to production, including LLM/RAG architectures.
• Set technical direction, enforce governance, and partner with data engineers and governance teams.

Skills

Python

SQL

LLM Apps

RAG

AI Agents

Prompt Engineering

Vector DBs

Neo4j

Redis

PostgreSQL

FastAPI

REST APIs

Git

Docker

Kubernetes

CI/CD

Xceptor

Google ADK

OpenAI APIs

MCP

Knowledge Graphs

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Xceptor

Google ADK

OpenAI APIs

Neo4j

Redis

PostgreSQL

FastAPI

Git

Docker

Kubernetes

CI/CD

Job description

Analytics & Information Management (AIM) – Third-Party Management

Role Overview

We are seeking a visionary and experienced leader to serve as the Vice President for our AI and Automation team. In this role, you will lead a specialized team of AI engineers and automation experts to design, build, and deploy enterprise-grade intelligent solutions. Your primary objective will be to transform how Third-Party Management assesses, monitors, and manages supplier and vendor risks through the strategic application of AI and automation technologies like Python and Xceptor.

This senior role requires a blend of deep technical expertise, strategic vision, and exceptional people leadership. The successful candidate will be responsible for setting the team's technical direction, managing the end-to-end delivery of complex projects, and fostering the growth of a high-performing team. You will act as a key partner to business leaders, data engineers, and enterprise governance teams to deliver scalable, compliant, and impactful AI capabilities.

Key Responsibilities

Team Leadership & Strategy

• Lead and Mentor:Build, manage, and mentor a high-performing team of AI engineers and automation specialists in India. Foster a collaborative and innovative culture.
• Strategic Planning:Define and execute the strategic roadmap for AI and automation within the Third-Party Management function, aligning with broader business objectives.
• Talent Development:Oversee the career development, performance management, and recruitment of team members.
• Technical Vision:Establish the team’s technical vision and standards for building AI models, automation workflows, and intelligent applications.

Solution Delivery & Technical Oversight

• Oversee Development:Manage the end-to-end lifecycle of AI solutions, from ideation and design through to deployment and production support. This includes solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
• Provide Guidance:Offer expert technical guidance and architectural oversight on projects involving AI-powered copilots, knowledge assistants, and complex workflow automation using Python and Xceptor.
• Ensure Quality:Champion engineering excellence by ensuring the team delivers clean, modular, and production-ready code for reusable AI services, APIs, and components.
• Manage Delivery:Direct the development of multi-agent workflows and the engineering of enterprise knowledge repositories using vector databases and knowledge graphs.

Program & Stakeholder Management

• Business Partnership:Serve as the primary point of contact for senior business stakeholders to understand strategic challenges, identify opportunities for AI, and ensure solutions deliver business value.
• Cross-Functional Collaboration:Drive collaboration with technology, architecture, cybersecurity, data engineering, and AI governance teams to ensure seamless integration and compliance.
• Program Management:Manage the team’s project portfolio, defining priorities, allocating resources, and communicating progress to leadership.

Governance & Best Practices

• Enforce Compliance:Ensure all AI solutions strictly adhere to enterprise governance, security, and model risk management requirements.
• Champion Best Practices:Establish and promote best practices for MLOps/LLMOps, including model evaluation, monitoring, auditability, and explainability.
• Drive Innovation:Stay abreast of industry trends and continuously evaluate new technologies and methodologies to enhance the team's capabilities and efficiency.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline. Master’s degree preferred.
• Proven leadership experience,with a strong track record of managing and developing a team of technical professionals (engineers, data scientists).
• Significant hands-on experience in software engineering, AI engineering, analytics, or data science.
• Demonstrated experience in project management,successfully delivering complex technical solutions from concept through to production.
• Strong Python programming skills and experience building REST APIs and backend applications.
• Excellent stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences.
• Excellent written and verbal communication skills.

Preferred Qualifications

Experience in one or more of the following:

• Leading teams in LLM application development (RAG, Agentic AI).
• Managing projects involving automation platforms like Xceptor.
• Vector databases, Knowledge Graphs, and AI orchestration frameworks.
• MLOps, LLMOps, and CI/CD in an enterprise setting.
• Banking, financial services, or risk management domains.

Technical Skills

Programming

• Python (Expert)
• SQL

AI & Machine Learning

• LLM Applications, RAG, AI Agents
• NLP and Prompt Engineering

Frameworks & Platforms

• Xceptor
• Google ADK, OpenAI APIs
• Model Context Protocol (MCP)

Data Technologies

• Vector Databases (e.g., Neo4j, Redis)
• PostgreSQL

Engineering & DevOps

• FastAPI, REST APIs
• Git, Docker, Kubernetes, CI/CD

Leadership Expectations

• Strategic Leadership:Develop and articulate a clear strategic vision for the team, driving innovation while delivering measurable business outcomes.
• Talent Champion:Attract, develop, and retain top engineering talent, fostering an environment of continuous learning and growth.
• Influence and Impact:Effectively communicate and influence at all levels of the organization, from junior engineers to senior business leaders.
• Ownership and Accountability:Take ultimate ownership for the team's performance and the successful delivery of its commitments.
• Promote Responsible AI:Champion ethical and responsible AI practices, ensuring fairness, transparency, and compliance in all solutions.

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see 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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