VP - Sr. AI Consulting Architect & Client Partner

AI Consulting – Deep Tech Engineering Lead

About EXL:

EXL, from our beginnings in business process services to becoming a global leader in data and AI, EXL brings 25+ years of proven expertise helping enterprises transform and redefining what's possible for our clients.

We partner with leading companies in insurance, healthcare, banking and capital markets, retail, media and communications, and energy and infrastructure to reimagine business models, deliver measurable outcomes, and accelerate innovation. While nearly 70% of enterprise AI initiatives fail, EXL consistently delivers a 90% success rate by integrating deep industry knowledge, robust data and analytics capabilities, and cutting-edge AI implementation in client workflows—turning complexity into value at scale.

At EXL, innovation isn't just a buzzword—it's how we solve complex challenges and create lasting value. By integrating cutting-edge technologies such as Agentic AI into workflows and data, and cloud computing, we empower our clients to remain at the forefront of innovation. Whether it's revolutionizing customer experiences, streamlining operations, or uncovering new revenue streams, innovation fuels everything we do.

About the Job:

Why this role exists

Enterprises are past GenAI experimentation. They now demand production systems with measurable ROI, governance, and scale, and most stall in the gap between an impressive pilot and a system that survives production. EXL lives in that gap. We are accountable for outcomes on our clients’ data, in their environment, against their SLAs. This role is the senior technical authority who makes that real. You convert ambitious, under-specified client mandates into secure, production-grade Generative and Agentic AI systems, and you turn each engagement into reusable IP that compounds EXL’s delivery leverage and pipeline.

What you will own

• The senior technical relationship with client executives, and the technical shaping of the deals that fund the work.
• End-to-end technical vision and delivery for enterprise GenAI and Agentic AI programs across a portfolio of clients focused on delivering value / outcomes to the clients.
• The technical standard for the practice: reference architectures, reusable accelerators, and the governance and evaluation bar every engagement is held to.