Technology Architect - AI/GenAI-Q2 FY 27

Job description

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.