SR. DATA SCIENTIST

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.  Job Overview At TE, we strongly believe that data and AI are strategic drivers for future success. We are building a world-class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business units. The Data and AI teams at TE are part of the TE Information Solutions (TEIS) Organization, building scalable solutions with AI agents and workflow for organization. The  Senior Data Scientist - Agentic AI & Workflow Automation  will spearhead the development of intelligent agent systems and orchestrated workflows. This role focuses on designing, building, and deploying autonomous AI agents that drive business automation and operational excellence through cutting-edge Generative AI and LLM technologies. Responsibilities Agentic AI & Automation: Design, develop, and deploy  multi-agent systems  and agentic applications using frameworks like AutoGen, LangGraph, CrewAI, or similar Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution Implement  Agent-to-Agent (A2A)  communication protocols and  Model Context Protocol (MCP)  for seamless agent collaboration Develop automation solutions using  OpenAPI standards  for integration with enterprise systems Create self-healing, adaptive workflows that optimize business processes autonomously Generative AI & LLM Solutions: Use ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the-art solutions Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary or open-source models Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions Technical Implementation: Work closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applications Design and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systems Evaluate, build, and fine-tune ML models and LLMs to solve complex business problems Stay abreast of latest developments in agentic AI, autonomous systems, language models, and generative AI technologies What your background should look like: Education & Experience: BE, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience 8+ years  of overall technical experience with  2-3+ years  of hands-on experience in Generative AI and LLM technologies 1+ years  of experience building agentic systems, workflow automation,…