Sr AI Solutions Architect (m/f/d)
GE Vernova (company site, opens in a new tab)Hyderabad, BengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead identification, design, deployment, and sustainment of AI solutions within a Wind Engineering subsystem to improve engineering effectiveness and outcomes.
- Translate subsystem business and technical challenges into prioritized AI use cases with measurable success criteria and maintain AI opportunity roadmap.
- Integrate AI into engineering workflows, ensure compliance with governance standards, drive adoption, and collaborate with senior architects and AI community for solution improvement and scaling.
Minimum Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, Applied Mathematics, Systems Engineering, or related technical field, or equivalent experience.
- Experience designing, developing, deploying, or supporting AI, machine learning, advanced analytics, automation, or digital engineering solutions.
- Working knowledge of modern AI technologies including generative AI, RAG, AI agents, machine learning, and workflow automation.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience applying AI in engineering, manufacturing, industrial, energy, or similarly technical environments.
- Familiarity with digital platforms such as GE Vernova, ARC Foundry, AWS, Azure, or related enterprise ecosystems.
- Ability to operate in matrixed organizations balancing innovation with engineering rigor and governance, influencing change, and driving AI adoption within engineering teams.