The AI Solutions Engineer will design, build, test, and deploy AI enabled tools that improve the efficiency, consistency, and execution of Eaton's engineering processes.
This role sits within Engineering Operational Excellence (EFE OPEX) and focuses on hands on development of AI solutions embedded directly into engineering workflows, such as engineering planning, NPI / Product Development tasks execution, DFMEA/PFMEA, engineering knowledge access, and reporting.
Job responsibilities
AI Solution Development (Primary Focus)
Design and hands on build AI solutions that support engineering operational processes, including:
o Engineering planning and scheduling
o NPI / PROLaunch execution support
o DFMEA / PFMEA drafting and consistency checks
o Engineering knowledge retrieval using RAG (with citations)
o Design review action tracking and reporting
Implement AI workflows using Azure OpenAI, Azure AI Foundry, and Eaton approved AI frameworks.
Implementation & Integration
Develop end to end AI solutions, including:
o prompt logic and AI agent workflows
o data preparation and retrieval
o basic orchestration and error handling
o integration into Microsoft Teams, SharePoint, or existing engineering tools
Partner with IT to ensure solutions comply with:
o security and identity requirements
o logging and auditability standards
o Eaton AI guardrails and deployment practices
Cross Functional Collaboration
Work closely with:
o EFE Digital on AI capabilities embedded in engineering and PLM adjacent tools
o IT on infrastructure, APIs, and deployment pipelines
Translate engineering process needs to clear technical requirements and user stories.
Adoption & Continuous Improvement
Pilot AI tools with engineering users and collect feedback
Iterate solutions to improve usability, reliability, and value
Support basic documentation, demos, and user enablement activities
Requirements
Bachelor's degree in computer science, engineering, or related field. A master's degree in AI, Machine Learning, or Data Science is preferred.
4-7 years of experience in software development, automation, or digital solution engineering
Hands on experience with: Python, APIs and cloud based services, Azure environment (preferred)
Demonstrated ability to build and deploy working solutions, not just proofs of concept
Experience working in an engineering, industrial, or manufacturing environment
Familiarity with:
o Engineering workflows such as NPI, project management, quality, or documentation
o AI assistants, RAG patterns, or workflow based AI solutions
Comfortable working directly with process owners and end users
Strong analytical, problem solving, and data driven decision making skills.
Excellent communication ability to translate complexity into clear narratives.
Ability to collaborate in a global, cross functional engineering environment.
Eaton · Pune, India