Technology Architect - AI/GenAI-Q2 FY 27

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.

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

Education

Bachelor of Engineering