Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components.

Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building India’s first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence.

Tata Electronics is a subsidiary 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'.

Responsibilities:

• Architect AI solutions across multiple ERP platforms, driving automation, optimization, and intelligence in enterprise workflows leveraging current AI and Generative AI stacks.

• Collaborate with cross-functional teams to identify AI opportunities across finance, supply chain, HR, and manufacturing functions.

• Lead end-to-end implementation of AI models, including data preparation, model training, deployment, and monitoring.

• Ensure seamless integration of AI tools with ERP systems, leveraging APIs, connectors, and middleware platforms.

• Stay current with AI/ML advancements and ERP roadmaps to propose future-ready solutions.

Essential Attributes:

• Strategic thinker with the ability to align AI initiatives with business goals across diverse enterprise domains

• Hands-on problem solver with deep technical skills and a bias for action in fast-paced environments

• Cross-functional collaborator skilled at working with business, IT, and data science teams to drive adoption

• Strong communicator capable of simplifying complex AI concepts for stakeholders at all levels

• Innovation mindset with a passion for exploring and applying the latest in GenAI, LLMs, and agentic automation

• Outcome-oriented with a track record of delivering measurable value through AI-driven solutions

Qualifications:

• Proven experience with LLMs, RAG pipelines, and GenAI architectures in enterprise settings

• Hands-on with agentic AI frameworks (e.g., LangChain, AutoGen) and vector databases for semantic search

• Strong expertise in data lakes/lakehouses for scalable AI/ML workloads

• Proficient in cloud AI platforms (AWS, Azure, GCP) and MLOps best practices

• Deep understanding of ERP systems (SAP, Oracle, Dynamics) and AI-led business process integration

• Knowledge of AI governance, security, and ethical AI deployment in regulated environments