What you’ll do:
Eaton announced, on June 11, 2026, the intent to combine its Mobility Group (including both the Vehicle and eMobility segments) with a new company. We expect to complete this process by the end of the first half of 2027. The compensation and benefits that will initially be offered for this position are based on Eaton's plans, programs and practices. If you are offered and accept this position and are actively employed by the Mobility Group when the transaction closes, the current company will provide further details to employees concerning compensation and benefits at that time.
Major purpose:
Define, develop, and deploy the vision and execution of enterprise AI platforms by leading high‑performing AI, data, and platform engineering teams to deliver reusable, cloud‑native ML and GenAI capabilities. The role enables AI‑driven insights, automation, and decision support across Mobility products and engineering workstreams spanning connected systems, electromechanical products, vehicle platforms, manufacturing, lifecycle management, NPI, NTI, and VAVE initiatives.
Job Description:
- Define and drive the AI engineering strategy to deliver enterprise‑grade, production‑ready AI capabilities that create measurable business impact across Mobility products, mechanical systems, and automotive platforms.
- Build and evolve a scalable, cloud‑native AI platform—encompassing ML and LLM‑powered services, shared infrastructure — to serve as a foundational layer across the Mobility product portfolio & workstreams
- Own the end‑to‑end AI technology lifecycle at a platform level, establishing standards and operating models for model development, deployment, monitoring, governance, scalability, and cost efficiency.
- Enable development of reusable AI services that support predictive insights, anomaly detection, design optimization, diagnostics, and operational intelligence across Mobility engineering and product teams.
Key Responsibilities:
- Define and own the long‑ter
📌 Senior Specialist (Pune)
🏢 Eaton
📍 Pune