Senior Gen AI Engineer - Vice President

Citi; Chennai; On-site; INR 5,500,000 - 8,500,000; Full time

Job summary

Citi in Chennai is seeking a Senior Gen AI Engineering leader to design and build AI/ML solutions powering multilingual customer interactions and enterprise platforms. You will lead a team with end-to-end responsibility for people, budget, and performance, delivering production-grade GenAI and agentic AI solutions at scale.

You will drive LLM-powered workflows, RAG pipelines, and knowledge systems, integrate vector databases, and ensure governance, observability, and cost optimization across

Qualifications

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

Responsibilities

• Lead 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 using GPT, Claude, Gemini, or equivalent models.
• Design and deploy multi-agent systems to automate complex customer journeys and business workflows.
• Apply advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality, cost, and accuracy.
• Develop and implement RAG pipelines and knowledge-based AI integrations; integrate vector databases and enterprise knowledge repositories.
• Improve retrieval accuracy, response relevance, and grounding of AI-generated content.
• Build scalable backend services and APIs using Java and/or Python; develop cloud-native microservices and integrate AI into customer-facing apps.
• Collaborate with architects, product managers, and stakeholders to deliver high-impact solutions; monitor model performance, latency, and costs; ensure governance and responsible AI practices.

Skills

Python

Java / Microservices

REST APIs

AI/ML & LLMs

LangChain / LangGraph / CrewAI

Distributed systems

Frontend frameworks

SQL/NoSQL

Vector databases

Cloud platforms

Tools

GPT / Claude / Gemini

Job description

About The Role

We are looking for a Senior Gen AI Engineering leader to design and build AI/ML solutions that power intelligent digital experiences across customer-facing and operational platforms. This role requires deep expertise in AI/ML, including LLM-powered workflows, agentic AI systems, and machine learning models, to enable natural language understanding, intelligent automation, and personalized self-service at scale.

About The Role

We are looking for a Senior Gen AI Engineering leader to design and build AI/ML solutions that power intelligent digital experiences across customer-facing and operational platforms. This role requires deep expertise in AI/ML, including LLM-powered workflows, agentic AI systems, and machine learning models, to enable natural language understanding, intelligent automation, and personalized self-service at scale. As a Vice President, you will lead a team with full responsibility for people, budget, and performance, while connecting intelligent AI systems with enterprise platforms across millions of multilingual customer interactions. If you are passionate about building production-grade AI using LLMs, RAG, and Agentic AI and thrive on growing high-performing teams, this role is for you.

Key Responsibilities

Generative AI & Agentic AI

• 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 using GPT, Claude, Gemini, or equivalent models
• Design and deploy multi-agent systems to automate complex customer journeys and business workflows
• Apply advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality, cost, and accuracy

RAG & Knowledge Systems

• Develop and implement RAG pipelines and knowledge-based AI integrations
• Integrate vector databases and enterprise knowledge repositories
• Improve retrieval accuracy, response relevance, and grounding of AI-generated content

Software Engineering

• Build scalable backend services and APIs using Java and/or Python.
• Develop cloud-native microservices and integrate AI capabilities into customer-facing applications.
• Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions.

AI Operations & Governance

• Monitor model performance, latency, and operational costs.
• Implement AI governance, observability, and responsible AI practices.
• Optimize LLM usage and inference costs in production environments.

Required Skills & Experience

Must Have

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

Nice to Have

• MLOps experience (deployment, monitoring, model lifecycle management)
• Experience with recommendation engines or conversational AI platforms
• Knowledge of financial services, wealth management, or digital banking
• Experience with AI governance and responsible AI practices

What Success Looks Like

• Build AI-powered experiences at scale for millions of customers
• Deliver production-ready GenAI and Agentic AI solutions
• Drive customer engagement and operational efficiency through AI
• Lead high-performing teams to adopt and deliver emerging AI technologies

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

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

Job Family Group

Technology

Job Family

Digital Software Engineering

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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