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.

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