**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._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career prospect review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Senior Gen AI Engineer - Vice President (Chennai)
🏢 Citigroup
📍 Chennai