Principal AI Engineer 3

Overview

Lead strategic client engagements that move AI applications from strategy to production. This player-coach role combines executive advisory, agentic-system architecture, hands-on building, and team development.

What you'll do

• Lead 2–5 concurrent client engagements or one flagship transformation.
• Own production adoption and measurable workflow outcomes.
• Advise client executives on AI strategy and implementation.
• Architect and build agentic systems and difficult technical solutions.
• Deliver production artifacts including agentic workflows, MCP servers, sub-agents, agent skills, and evaluation frameworks.
• Recruit, coach, and develop Forward Deployed Engineers.
• Shape reusable AI offerings, intellectual property, and go-to-market approaches.

What you'll need

• Proven software engineering, applied AI, data, or product experience leading technical work.
• Experience architecting an AI, data, or software effort shipped to real users at meaningful scale.
• Production LLM experience covering prompt engineering, agent development, evaluation, and deployment at scale.
• Strong Python programming skills and comfort shipping production code.
• Fluency with Claude or a comparable frontier LLM as a primary build tool.
• Experience hiring and developing technical talent.
• English proficiency at C2 level.

Nice to have

• Founder, CTO, Head of AI, or principal/staff engineer experience.
• Domain depth in life sciences, financial services, healthcare, or insurance.
• Recognition through talks, writing, open source, or notable shipped projects.
• Experience in top-tier consulting, product, or applied AI environments.
• Experience with hybrid onshore/offshore delivery teams.

Details

• Location: Gurgaon, Haryana, India.
• Work mode: Hybrid.
• Employment type: Regular.
• Work shift: Day Job (India).