Job ID: 39261

- Date: 14 Apr 2026
- Location: Bengaluru, KA, IN
- Department: AI.Digital
- Business: Corporate

Purpose-

- The Tata Group operates in more than 100 countries across six continents, with the mission: 'To improve the quality of life of the communities we serve globally, through long-term stakeholder value creation based on leadership with Trust.'Key Responsibility
- Own the product vision and roadmap for GenAI-powered solutions in manufacturing, driving alignment between business goals and technical delivery
- Collaborate with cross-functional teams (engineering, data science, business stakeholders) to define, prioritize, and deliver AI/GenAI features that create measurable impact on manufacturing operations.
- Translate manufacturing use cases into robust GenAI product requirements, ensuring solutions are scalable, secure, and compliant with enterprise standards.
- Oversee the end-to-end lifecycle of GenAI product delivery—from ideation and prototyping to production deployment, monitoring, and adoption tracking.
- Champion the integration of GenAI workflows across manufacturing, supply chain, finance, and shop floor processes for operational excellence.
- Ensure responsible AI adoption by embedding observability, security, and governance frameworks in all GenAI products.

Essential Attributes

- Proven experience as a product owner or manager in GenAI, LLM architectures,



and multi-agent orchestration within manufacturing or enterprise environments.
- Strong understanding of DevOps, cloud-native and on-prem engineering, and modern AI deployment practices (CI/CD, GitOps, Kubernetes, monitoring).
- Demonstrated ability to balance technical depth with business impact, driving agile execution in rapid-paced, ambiguous settings
- Passion for digital transformation and shaping Industry 4.0 through GenAI innovation

Qualification

Experience

- 8-10 years’ experience in product ownership or technical leadership, with at least 3-5 years focused on GenAI and enterprise AI initiatives.
- Hands-on expertise with GenAI frameworks (LangChain, LlamaIndex, RAG architectures) and LLM deployment strategies.
- Proficiency with cloud platforms (Nvidia, AWS, Azure, GCP), serverless computing, and container orchestration (EKS, AKS, GKE).
- Strong understanding of data pipelines, lakehouse/lake architectures, and vector databases (e.g., Pinecone, Milvus, OpenSearch).
- Experience in manufacturing, semiconductors, or electronics domains is highly desirable.
- Prior experience in manufacturing, semiconductors, or electronics domains is a strong plus.
- Certifications in PMP, Agile, SAFe, or Cloud DevOps (AWS/Azure/GCP) are desirable.

Additional Technical Requirements

Competencies

- Teamwork- Agility- Customer Empathy- Purposeful Pursuit of Goals- Pioneering- Deep Domain Knowledge- Future Ready

📌 Product Owner - Genai Manufacturing (Bengaluru)
🏢 Tata Electronics
📍 Bengaluru