Chennai, Tamil Nadu Senior ai/ml engineer vice Jobs – 8 Open Jobs Today

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Java Development Lead - Credit Risk Technology - Vice President
Citi —Chennai, Tamil Nadu
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Senior Gen AI Engineer - Vice President

Citi -
Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Qualifications

Wealth management
Law
React
Full-stack development
Software deployment
System design
NoSQL
Java
Master's degree
Application development
Databases
Microservices
SQL
Sentiment analytics
Machine learning
Distributed systems
REST
Natural language processing
Angular
APIs
Financial services
AI
Banking
Python
Analytics

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 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

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

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

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.

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.

Apply Now

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