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Technology Architect - AI/GenAI-Q2 FY 27

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  • Posted 3 days ago
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Job Description

  • Design and develop enterprise-grade Generative AI solutions using Python and modern AI frameworks.
  • Build AI applications using LLMs, embeddings, prompts, function calling, tool usage, and agentic AI patterns.
  • Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and generation use cases.
  • Design end-to-end AI solutions covering: o Data ingestion o Data processing o Retrieval o Generation o Evaluation
  • Work with Agentic AI frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
  • Apply prompt engineering strategies to improve LLM accuracy, reliability, and usability.
  • Evaluate the suitability of fine-tuning vs RAG based on business and technical requirements.
  • Support LLM fine-tuning workflows including instruction tuning and supervised fine-tuning.
  • Manage data preparation for fine-tuning, including train/validation splits, data quality checks, and contamination prevention.
  • Deploy AI workloads on cloud platforms such as Azure, AWS, or GCP.
  • Containerize AI applications using Docker and work with basic Kubernetes concepts.
  • Apply model engineering best practices for scalable, reliable, and production-ready AI systems.

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About Company

Job ID: 151657025

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