Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group. 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. Tata Electronics is redefining the EMS (Electronics Manufacturing Services) landscape by delivering innovative consumer electronics products, services and solutions.
If you’re passionate about engineering excellence, product reliability, and driving business growth, join us to help shape the future of electronics manufacturing.
Responsibilities · 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, priorities, 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.
· Partner with technical leaders to implement CI/CD pipelines, infrastructure-as-code, and containerized deployments for GenAI applications.
· 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 fast-paced, ambiguous settings
Passion for digital transformation and shaping Industry 4.0 through GenAI innovation
Qualifications
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.