Role Summary

We are looking for a hands-on AI leader who can build and scale agentic solutions, develop high-performing teams, and drive measurable AI adoption across Commercial Excellence. This is not a strategy-only role; we need a true AI expert who has built and deployed real AI systems on a scale and can work closely with leadership to take adoption to the next level.

Role Purpose

- Partner with leadership to convert AI ambition into production-grade agent deployments and measurable business impact.

- Create reusable agent patterns, governance standards, and adoption of playbooks for engagements and delivery teams.

- Build AI depth across teams by mentoring solid practitioners and screening for true hands-on expertise.

Core Responsibilities

- Help build and deploy production-grade AI agents for business workflows such as incentive compensation, alignment, roster, commercial operations, performance management, analytics operations, and delivery productivity.

- Lead agentic solution architecture across LLM workflows, orchestration, tool usage, APIs, data pipelines, evaluation, monitoring, and feedback loops.

- Drive scaled adoption across accounts and teams with clear linkage to outcomes such as productivity, margin improvement, quality, cycle-time reduction, and better client delivery.

- Develop a high-caliber AI delivery bench, including engineers, forward deployed engineers, product SMEs, and implementation leaders.

- Establish validation frameworks, readiness gates,



prompt/tooling standards, KB quality checks, and release governance to reduce rework and ensure reliability.

- Translate use cases into deployable agent solutions with measurable ROI and repeatable implementation models.

- Influence senior stakeholders, delivery teams, and product/R&D; teams to embed AI into the operating model rather than treating it as isolated experimentation.

Preferred Background

- Proven AI builder-leader with hands-on experience deploying LLM/agentic systems in production at scale (not POCs), with deep expertise in agent orchestration, RAG/tooling, evaluation, and end-to-end system design.

- Strong execution + scale mindset: Drives enterprise-wide AI adoption with measurable business impact (efficiency, margin, delivery quality), operating seamlessly from code to leadership.

- High ownership talent builder: Sets a high bar, mentors teams, and can clearly distinguish real AI depth vs superficial experience while building scalable capability.

- Experience in life sciences, commercial operations, sales operations, incentive compensation, field force effectiveness, or analytics delivery is preferred.

- Experience with enterprise AI platforms, workflow automation products, knowledge-based agents, and secure client delivery environments is valuable.

- Prior experience partnering with product, engineering, delivery, and client-facing teams in a matrixed organization is helpful.

📌 AI Transformation Leader (Bengaluru)
🏢 Axtria
📍 Bengaluru