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GE Vernova

Sr Technical Program Manager

Posted 13 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Junior
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Junior
The role involves architecting AI solutions, translating business needs into technical requirements, ensuring ethical standards in AI solutions, and collaborating with stakeholders.
The summary above was generated by AI
Job Description SummaryAI Solution Architect to serve as the bridge between our business objectives and our technical AI capabilities. You will be responsible for identifying high-impact business challenges and architecting end-to-end Artificial Intelligence and Generative AI solutions to solve them.
The ideal candidate doesn't just "understand" AI—they know how to make it profitable, scalable, and responsible within a global corporate framework.

Job Description

Roles and Responsibilities:

Business Translation: Partner with business units (Finance, Supply Chain, HR, etc.) to identify "unmet needs" and translate them into technical AI requirements

Solution Design: Architect end-to-end AI systems, including data ingestion, model selection (LLMs, SLMs, or Traditional ML), orchestration (RAG, Agentic workflows), and UI integration

Stakeholder Management: Act as a "Trusted Advisor" to senior leadership, demystifying AI and providing clear narratives on how AI drives competitive advantage

Technical Oversight: Collaborate with Data Scientists and Engineers to ensure the final product aligns with the original business vision and meets performance benchmarks

Governance & Ethics: Ensure all AI solutions adhere to global security, privacy (GDPR/DPDP), and ethical AI standards

Education Qualification:

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, MBA with a technical focus, or a related field

2/3 years of working experience focus on Data architect and/or AI related field

Desired Characteristics:
AI Fluency: Deep understanding of the Generative AI landscape (OpenAI, Anthropic, Llama), Vector Databases, and MLOps/LLMOps frameworks

The "Translator" Ability: Proven track record of turning ambiguous business problems into structured technical roadmaps

Experience with cloud AI stacks (Azure AI Studio, AWS Bedrock, or Google Vertex AI)

Knowledge of "Agentic AI" and autonomous workflow design

2–3 years of professional experience specializing in Data Architecture and AI-driven solutions.

Collaborate with business and functional partners and technology leadership in specifying requirements
Strong oral and written communication skills
Strong interpersonal skills
Effective team building and problem-solving abilities

Note
To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: No

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