Chief AI Expert – Engineering

We’re looking for two visionary AI leaders to own and scale the AI agenda across:1x Vehicle Motion Division
This isn’t a “run experiments in a lab” role. This is about turning AI into measurable business impact—revenue, speed, quality, productivity—and embedding an AI-first culture across engineering and leadership.

Your Mission
Drive end-to-end AI transformation:
Shape and execute a high-impact AI roadmap
Move use cases from idea-pilot -production
Embed robust LLMOps/MLOps standards
Make AI adoption real, safe, and scalable

What You’ll Work OnAI-powered products & connected solutions
- Embedded / edge AI in safety-critical domains
- AI driven software development (coding, testing, defect prevention, acceleration)Knowledge fabrics, RAG, agent workflows, and production-grade GenAI architectures
- Governance, responsible AI, and secure enterprise deployment
- You’ll also champion AI-first leadership habits and build maturity models that help teams level up sustainably.
What Success Looks Like
Production-grade AI solutions live in products and engineering workflows
Measurable improvements in cost, quality, and time-to-market
Standardized evaluation, monitoring, and secure deployment practices
Leaders and teams confidently operating with an AI-first mindset

Who We’re Looking For
- Strong exposure to AI/ML/GenAI in real-world, production environments
- Ability to influence senior stakeholders and drive change at scale
- Deep understanding of AI architecture, Context Engineering, associated tools, governance, and enterprise deployment.
- More than years of experience you should have the inner drive and competency to shape the SW development of the future using AI. (To have a fair exposure in the industry, 12-18 years of experience in engineering/product delivery would be ideal)
If you’re excited about building AI systems that ship, scale responsibly, and shape how engineering works in the future — let’s talk.

Responsibilities

Drive end-to-end AI transformation; Shape and execute a high-impact AI roadmap; Move use cases from idea-pilot-production; Embed robust LLMOps/MLOps standards; Make AI adoption real, safe, and scalable; Work on Embedded / edge AI in safety-critical domains; Enable AI driven software development (coding, testing, defect prevention, acceleration); Implement Knowledge fabrics, RAG, agent workflows, and production-grade GenAI architectures; Ensure Governance, responsible AI, and secure enterprise deployment; Champion AI-first leadership habits and build maturity models

Requirements

Strong exposure to AI/ML/GenAI in real-world, production environments; Ability to influence senior stakeholders and drive change at scale; Deep understanding of AI architecture, Context Engineering, associated tools, governance, and enterprise deployment; Inner drive and competency to shape the SW development of the future using AI; B.E, MS/M.Tech

Nice to have

12-18 years of experience in engineering/product delivery