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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 forecastin

📌 DATA ARCHITECT (Bengaluru)
🏢 TE Connectivity
📍 Bengaluru