This job is with TE Connectivity, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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, or autonomous AI applications

Agentic AI & Workflow Expertise:

- Deep hands-on experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar)
- Robust knowledge of workflow orchestration tools and patterns (Temporal, Airflow, Prefect, or similar)
- Expertise in OpenAPI standards , Agent-to-Agent (A2A) protocols , and Model Context Protocol (MCP)
- Experience designing multi-agent architectures with memory, planning, and tool-use capabilities
- Knowledge of agent evaluation, testing frameworks, and observability patterns

LLM & Generative AI:

- Proven track record of deploying and optimizing LLM models for inference in production environments
- Extensive experience with LLM orchestration frameworks (LangChain, LlamaIndex required)
- Hands-on experience with Amazon Bedrock, SageMaker JumpStart , and other cloud-based LLM platforms
- Expertise in RAG architectures, Fine-tuning techniques, and Prompt Engineering
- Deep understanding of Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB) and Knowledge Graphs

ML/DL Foundations:

📌 SR. DATA SCIENTIST (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru