DATA ARCHITECT

TE Connectivity · Bengaluru

  • Experience7–8 yrs
  • SalaryNot disclosed
  • RoleAI Engineer
  • Work modeonsite
  • Posted14 Oct 2026

About TE Connectivity

TE Connectivity is hiring in Bengaluru in semiconductors electronics. This role looks for around 7+ years of experience.

Skills

  • Generative AI
  • Agentic AI
  • AWS Bedrock
  • Azure OpenAI
  • Databricks
  • Python
  • SQL
  • PySpark
  • FastAPI
  • Docker
  • Kubernetes
  • CI/CD

The role

Builds enterprise AI architecture for an industrial technology company creating connectivity and sensor solutions. Designs Agentic AI and RAG systems, develops machine learning solutions, and deploys scalable AI services using Python, Databricks, and LangGraph. Applies PySpark and Kubernetes to production AI delivery.

Full job description

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

Lead the architecture, design and deployment of Generative AI, Agentic AI, ML and deep learning solutions end to end: data pipelines, retrieval, agent orchestration, model serving, evaluation and monitoring on AWS Bedrock, Azure OpenAI and Databricks.

Roles & Responsibility

Solution Architecture

Own and lead the enterprise AI reference architecture and end-to-end design for Generative AI and Agentic AI solutions, covering data ingestion, retrieval, orchestration, model serving, security, and monitoring.Select the optimal models, platforms, and architectural patterns across AWS Bedrock, Azure OpenAI, and Databricks, balancing accuracy, latency, scalability, cost, and compliance requirements.Develop architecture blueprints, reference designs, and technical decision records (TDRs).Lead architecture reviews and establish engineering, security, and coding standards for AI solution delivery.

Generative AI & Agentic AI

Design and implement multi-agent systems using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, and Amazon Bedrock Agents.Build enterprise-grade RAG solutions leveraging chunking strategies, embeddings, hybrid search, semantic search, re-ranking, and vector databases.Implement prompt engineering, guardrails, structured outputs, tool/function calling, and Model Context Protocol (MCP) integrations.Establish LLMOps practices including evaluation frameworks, prompt versioning, groundedness validation, tracing, monitoring, and cost optimization.

Data Science, Machine Learning & Deep Learning

Develop machine learning and deep learning solutions for forecasting, classification, anomaly detection, optimization, NLP, and predictive analytics.Build scalable data and feature engineering pipelines using Databricks, PySpark, Delta Lake, Unity Catalog, and MLflow.Deploy AI models and intelligent agents as scalable APIs using FastAPI, Docker, Kubernetes, and CI/CD pipelines.

Qualifications

Must Have

7+ years of experience in Data Science, Machine Learning, or AI Engineering, including 3+ years architecting production GenAI/LLM solutions.Proven experience designing and deploying Agentic AI or Multi-Agent systems.Hands-on experience with at least two of AWS Bedrock, Azure OpenAI, and Databricks.Strong expertise in Python, SQL, and PySpark with solid ML and statistical fundamentals.Experience deploying AI solutions using FastAPI, Docker, Kubernetes, and CI/CD pipelines.

Good to Have

Experience with LLM fine-tuning (LoRA/PEFT) and evaluation frameworks.Exposure to Knowledge Graphs, Document AI, OCR, or Computer Vision.Experience with engineering data domains (BOM, PDM, SAP) or financial risk modeling (Credit Risk, IFRS 9).Certifications such as AWS Certified Machine Learning, Azure AI Engineer Associate, or Databricks Generative AI Engineer.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

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.