Technology Architect - AI/GenAI-Q2 FY 27

Job Description:

• We are looking for a highly skilled Generative AI Engineer Senior Technologist with strong hands on experience in Python Large Language Models RAG Agentic AI fine tuning and cloud deployment
• The ideal candidate should have a deep understanding of LLM architectures at a systems level and the ability to design build deploy and evaluate end to end AI solutions for enterprise use cases
• This role requires strong engineering capability problem solving skills and practical exposure to modern AI frameworks cloud native deployment and model engineering concepts

Key Responsibilities:

• 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

Technical Requirements:

Additional Responsibilities:

Preferred Skills:

Technology->AI-Responsible AI->Responsible AI->explainable ai,Technology->AI-AI Engineering->LLMOps