Senior Engineer - Operational Excellence (AI Solutions)
Eaton (company site, opens in a new tab)4–7 yrsPuneHybridDirect career pageEst. 14–28 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, test, and deploy AI-enabled tools embedded within engineering workflows to improve efficiency and consistency of engineering processes.
- Develop end-to-end AI solutions including prompt logic, data preparation, orchestration, error handling, and integration with Microsoft Teams, SharePoint, or engineering tools using Eaton-approved AI platforms.
- Collaborate with Engineering Digital and IT teams to implement, pilot, iterate, and support AI tools focusing on adoption and compliance with security, identity, logging, and audit standards.
Minimum Requirements
- Bachelor's degree in computer science, engineering, or related field required; master's in AI, Machine Learning, or Data Science preferred.
- 4-7 years of experience in software development, automation, or digital solution engineering.
- Proficiency in Python, APIs, cloud-based services, and preferred experience with Azure environment.
- Work Experience Required: 4-7 years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrated hands-on ability to build and deploy functional AI engineering solutions, not just prototypes.
- Experience or familiarity with engineering or manufacturing environments, including understanding of NPI, project management, quality, or documentation workflows.
- Comfortable collaborating cross-functionally with process owners, engineering users, and IT to translate process needs into technical requirements and ensure solution adoption.