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 strong 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 explicit 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

📌 AI Transformation Leader (Delhi)
🏢 Axtria
📍 Delhi