AI Adoption Lead
Job Description
About the role
You will sit at the centre of NTF's AI adoption — identifying use cases, running pilots, training teams, and embedding AI into how we work every day. The role spans shop floor, engineering, supply chain, quality and back-office functions. Expect a mix of project execution, hands-on problem solving, and training delivery across plants.
Key Responsibilities
• Identify, scope and roll out AI and Industry 4.0 use cases across NTF's 12 plants — vision-based quality inspection, GenAI engineering co-pilots for DFMEA/APQP/PPAP, AI-led inventory and logistics, EHS safety vision systems, supplier risk sensing, and component design optimization
• Run pilots, measure impact, and scale what works across the plant network
• Train NTF teams — from shop floor operators to senior management — on AI productivity tools: Claude, ChatGPT, Copilot, Gamma, Perplexity
• Build internal AI playbooks, SOPs and use-case libraries that employees can adopt independently
• Partner with quality, engineering, supply chain, finance and IT to embed AI into daily workflows
• Coordinate with external technology partners and vendors for implementation, testing and adoption
• Monitor IoT, vision systems and digital infrastructure across plants; raise and close issues with the project team
• Document outcomes and report progress to senior management
What we're looking for
• B.E. / B.Tech in AI, Computer Science, IT, Electronics, Electrical, Mechanical or Mechatronics
• 0-3 years of work experience
• Genuine interest in AI, digital transformation and manufacturing technology
• Hands-on attitude — comfortable spending time on the shop floor, not just behind a screen
• Strong written and verbal communication — you will be training engineers and operators alike
• Self-starter mindset — this is a build-from-scratch function
Why NTF
• Front-row seat to one of the most ambitious AI rollouts in Indian auto components
• Real budget, real scope, real impact — this is not a research role
• Direct exposure to senior leadership and our Japanese and European technology partners
• Clear growth path into AI leadership as the function scales
