Job Description: Lead enterprise-scale AI and Generative AI delivery programs , driving measurable business outcomes across clients. Own end-to-end execution, stakeholder engagement, and solution scaling , while shaping AI-led transformation journeys.

This role combines delivery leadership, client advisory, and AI expertise , with accountability for program success, growth, and team excellence.

Responsibilities: Delivery Leadership

- Own end-to-end delivery of AI/GenAI programs across multiple accounts
- Drive timely, high-quality execution with clear business outcomes (revenue, cost, efficiency)
- Establish delivery governance, KPIs, and performance tracking

Program & Portfolio Management

- Manage a portfolio of AI initiatives (GenAI, automation, advanced analytics)
- Lead program planning, risk management, and cross-functional alignment
- Ensure scalable delivery using Agile, MLOps, and LLMOps practices

Client & Stakeholder Management

- Act as a trusted advisor to senior client stakeholders
- Translate business problems into AI-led solutions and execution roadmaps
- Drive client satisfaction, retention, and growth

AI Solution Oversight

- Guide teams on LLM-based applications,



RAG architectures, and agentic workflows
- Ensure solutions meet enterprise standards (scalability, security, governance)
- Promote use of reusable assets and accelerators

Business Growth & Pre-Sales

- Support AI solutioning for large deals and strategic bids
- Partner with sales to develop value propositions and proposals
- Identify expansion opportunities within accounts

Team Leadership

- Build and lead high-performing AI teams (architects, data scientists, engineers)
- Mentor leaders and drive capability development in GenAI
- Foster a culture of ownership, innovation, and delivery excellence

- Qualifications: 12–15 years in AI/Analytics delivery, consulting, or digital transformation
- Proven experience managing end-to-end delivery of enterprise-scale programs
- Robust exposure to Generative AI (LLMs, RAG, AI automation)
- Experience working with enterprise clients and senior stakeholders
- Solid understanding of cloud ecosystems (AWS / Azure / GCP)
- Track record of leading teams and driving multi-program execution

📌 Senior Assistant Vice President (Bengaluru)
🏢 EXL Service
📍 Bengaluru