Senior Gen AI Engineer - Vice President

Citi; Chennai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Citi in Chennai is seeking a Senior Manager of Digital Software Engineering to lead the design and implementation of AI/ML solutions. The ideal candidate should have 11–16 years of experience, expertise in Java, Microservices, and Python, along with a strong background in AI/ML, particularly with LLMs. The role involves managing a team and collaborating cross-functionally to optimize customer interaction systems. Citi offers an equal opportunity workplace.

Qualifications

• 11–16 years of experience in application development or enterprise engineering roles.
• Strong hands-on expertise in Java, Microservices, and REST APIs.
• Expert-level proficiency in Python (mandatory).
• 2+ years of hands-on experience with AI/ML, LLMs (e.g., GPT, Claude, Gemini).
• Experience with RAG, prompt engineering, and vector databases.
• Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI).
• Full-stack development experience with modern frontend frameworks (e.g., React.js/Angular).
• Strong understanding of system design, distributed systems, and cloud platforms.
• Experience with SQL/NoSQL databases and real-time data processing.
• Exposure to MLOps practices including deployment, monitoring, and lifecycle management.

Responsibilities

• Lead the design and development of scalable, enterprise-grade conversational AI and agentic systems for real-time customer interaction use cases.
• Build and optimize AI/ML solutions including LLM-powered workflows.
• Develop and implement RAG pipelines and knowledge-based AI integrations.
• Design and deploy multi-agent systems for complex business use cases.
• Apply prompt engineering and optimize LLM performance, cost, and accuracy.
• Build intelligent automation solutions for customer journeys and digital workflows.
• Integrate AI capabilities into existing enterprise platforms and architectures.
• Collaborate with cross-functional teams to deliver end-to-end solutions.
• Ensure system scalability, reliability, and performance in production environments.
• Drive best practices in architecture, coding standards, and AI implementation.

Skills

Java

Microservices

REST APIs

Python

AI/ML

LLMs

RAG

Prompt engineering

Vector databases

React.js

Angular

System design

Distributed systems

Cloud platforms

SQL

NoSQL

Real-time data processing

MLOps

Job description

The Digital S/W Engineer Sr Mgr accomplishes results through the management of professional team(s) and department(s). Responsible for design and implementation of cutting‑edge AI/ML solutions that power intelligent, multilingual digital experiences across customer‑facing and operational platforms. Requires broad full‑stack engineering expertise with deep specialization in AI/ML with an ability to build and optimize LLM‑powered workflows, agentic AI systems, and machine learning models to enable natural language understanding, intelligent automation, and personalized self‑service, bridging intelligent systems with enterprise‑grade digital platforms across millions of interactions spanning multiple languages. Full management responsibility of a team, which may include management of people, budget and planning and duties such as performance Evaluation.

Key Responsibilities

• Lead the design and development of scalable, enterprise‑grade conversational AI and agentic systems for real‑time customer interaction use cases
• Build and optimize AI/ML solutions including LLM‑powered workflows
• Develop and implement RAG pipelines and knowledge‑based AI integrations
• Design and deploy multi‑agent systems for complex business use cases
• Apply prompt engineering and optimize LLM performance, cost, and accuracy
• Build intelligent automation solutions for customer journeys and digital workflows
• Integrate AI capabilities into existing enterprise platforms and architectures
• Collaborate with cross‑functional teams to deliver end‑to‑end solutions
• Ensure system scalability, reliability, and performance in production environments
• Drive best practices in architecture, coding standards, and AI implementation

Required Skills & Experience

• 11–16 years of experience in application development or enterprise engineering roles
• Strong hands‑on expertise in Java, Microservices, and REST APIs
• Expert‑level proficiency in Python (mandatory)
• 2+ years of hands‑on experience with AI/ML, LLMs (e.g., GPT, Claude, Gemini)
• Experience with RAG, prompt engineering, and vector databases
• Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
• Full‑stack development experience with modern frontend frameworks (e.g., React.js/Angular)
• Strong understanding of system design, distributed systems, and cloud platforms
• Experience with SQL/NoSQL databases and real‑time data processing
• Exposure to MLOps practices including deployment, monitoring, and lifecycle management

Good to Have

• Experience in Financial Services / Banking domain
• Exposure to recommendation systems, personalization, or conversational AI
• Knowledge of customer journey analytics, sentiment analysis, or automation workflows
• Experience working in product‑based or large‑scale enterprise environments

Role Type

• Individual Contributor (Hands‑on)
• High ownership role with cross‑functional collaboration

What We’re Looking For

• Strong technologist with the ability to bridge traditional engineering and AI
• Hands‑on problem solver with a product mindset
• Ability to work in a fast‑evolving AI landscape and drive innovation

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.