Senior Data Scientist - Agentic AI & Workflow Automation

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
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.
Design, develop, and deploy 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 communication protocols and for seamless agent collaboration
Develop automation solutions using 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

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:
BE, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience
of overall technical experience with of hands-on experience in Generative AI and LLM technologies
of experience building agentic systems, workflow automation, or autonomous AI applications

Agentic AI & Workflow Expertise:
Deep hands-on experience with (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar)
Strong knowledge of tools and patterns (Temporal, Airflow, Prefect, or similar)
Expertise in , , and
Experience designing multi-agent architectures with memory, planning, and tool-use capabilities
Knowledge of agent evaluation, testing frameworks, and observability patterns

Proven track record of deploying and optimizing LLM models for inference in production environments
Extensive experience with (LangChain, LlamaIndex required)
Hands-on experience with , 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

Expert in NLP techniques and deep learning libraries (Transformer models, LSTM, BiLSTM, CNN, BERT, GPT, T5)
Proficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn
Strong programming skills in , plus JavaScript/TypeScript or Node.js
Deep understanding of data structures, algorithms, and system design patterns

Hands-on experience in including data pipelines, model training/refinement, validation, drift management, and serving
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML systems
Knowledge of monitoring, logging, and observability tools for production AI systems

Experience with function calling, tool use, and external API integration in agent systems
Knowledge of reinforcement learning and agent training methodologies
Familiarity with semantic reasoning, planning algorithms (ReAct, Chain-of-Thought, Tree-of-Thoughts)
Experience with graph databases (Neo4j, Neptune) and ontology design
Contributions to open-source AI/ML projects
Publications or patents in AI/ML domain

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on , , and
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events Employee Resource Group
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.
Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta RoadBangalore, Karnātaka 560076India

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