Reads like an AI Engineer role: building products on existing AI models.
Bangalore, KA, IN, 560076
Open 5 months, first seen by us 157 days agoDesign and deploy multi-agent systems and agentic applications
Build workflow orchestration for autonomous decision-making and task execution
Implement A2A and MCP protocols for agent collaboration
Design RAG, vector DB and knowledge graph retrieval architectures
Evaluate, build and fine-tune ML models and LLMs for business problems
Design, develop, and deploy multi-agent systems and agentic applications
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
Design and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs
Evaluate, build, and fine-tune ML models and LLMs to solve complex business problems
8+ years of overall technical experience with 2-3+ years of hands-on experience in Generative AI and LLM technologies
Strong knowledge of workflow orchestration tools and patterns (Temporal, Airflow, Prefect, or similar)
Hands-on experience with Amazon Bedrock, SageMaker JumpStart, and other cloud-based LLM platforms
Proficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn
Hands-on experience in MLOps/LLMOps including data pipelines, model training/refinement, validation, drift management, and serving
Experience with function calling, tool use, and external API integration in agent systems
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
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 157 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 157
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past TE Connectivity’s usual: its jobs come down by about day 45.
From 51 similar postings that came down, and 140 of TE Connectivity’s. Coming down is not always a hire.
31 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Proficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn - Strong programming skills in Python (required), plus JavaScript/TypeScript or Node.js - Deep understanding of data structures, algorithms, and system design patterns
- 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
- Hands-on experience in MLOps/LLMOps 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
- 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
- Deep hands-on experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar) - Strong 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)
- 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
- 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 Python (required), plus JavaScript/TypeScript or Node.js
Complete your application on careers.te.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Data Scientist job there since October 2026. It is still up.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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.
Agentic AI & Automation:
Generative AI & LLM Solutions:
Technical Implementation:
Education & Experience:
Agentic AI & Workflow Expertise:
LLM & Generative AI:
ML/DL Foundations:
MLOps/LLMOps:
Nice to Have
ABOUT TE CONNECTIVITY
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 www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
WHAT TE CONNECTIVITY OFFERS:
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 actual 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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bangalore, KA, IN, 560076
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.