DATA ARCHITECT

TE Connectivity Corporation; Bengaluru; Remote; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Competitive Salary Package

Performance-Based Bonus Plans

Health and Wellness Incentives

Employee Stock Purchase Program

Community Outreach Programs

Employee Resource Group

Job summary

TE Connectivity seeks a senior AI Architect to lead the design and deployment of Generative AI, Agentic AI, ML and DL solutions across AWS Bedrock, Azure OpenAI and Databricks in Bengaluru. You will own architecture, data pipelines, model serving and monitoring, ensuring security and scalable performance.

The role requires hands-on experience with GenAI systems, multi-agent frameworks, and fast API-based APIs, with a focus on cost efficiency and regulatory compliance.

Qualifications

• 7+ years of experience in Data Science, ML, or AI Engineering, including 3+ years architecting 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.

Responsibilities

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

Skills

Python

SQL

PySpark

LLM deployment

FastAPI

Docker

Kubernetes

CI/CD

Tools

AWS Bedrock

Azure OpenAI

Databricks

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 Description:

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.

WHAT TE CONNECTIVITY OFFERS:

• Competitive Salary Package
• Performance-Based Bonus Plans
• Health and Wellness Incentives
• Employee Stock Purchase Program
• Community Outreach Programs / Charity Events
• Employee Resource Group

Job Locations:

Job Country: India

Travel Required: Less than 10%

Requisition ID: 159834

Workplace Type: Remote

External Careers Page: Information Technology