AI Solutions Architect
GE Vernova (company site, opens in a new tab)Hyderabad, BengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own identification, design, deployment, and sustainment of AI solutions improving engineering productivity, quality, speed, and outcomes within a Wind Engineering subsystem.
- Translate business and technical challenges into prioritized AI use cases with measurable success criteria and maintain a subsystem AI opportunity roadmap.
- Integrate AI into engineering workflows, ensure compliance with governance and quality standards, and drive AI adoption and capability development within the subsystem.
Minimum Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, Applied Mathematics, Systems Engineering, or related technical discipline.
- 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, retrieval-augmented generation, AI agents, machine learning, and workflow automation.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced applying AI solutions in engineering, manufacturing, industrial, energy, or highly technical environments, especially Wind Engineering.
- Comfortable operating in a matrixed environment collaborating with subsystem leadership, senior AI architects, engineers, and product/process owners.
- Skilled in balancing innovation with engineering rigor, governance, and quality requirements while driving adoption and sustained AI solution impact.