Senior Gen AI Engineer - Vice President

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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

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Job Family Group:

Technology

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

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

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