Senior Gen AI Engineer - Vice President

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. 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 opportunity review* *Accessibility at Citi.* *View Citi’s EEO Policy Statement and the Know Your Rights poster.*