Job Summary :

We are seeking a visionary and technical Generative AI Architect to lead the design, development, and implementation of cutting-edge Generative AI solutions. This role bridges the gap between business strategic goals and technical execution, transforming enterprise data into actionable intelligence through Large Language Models (LLMs), Agentic AI, and advanced neural networks. The ideal candidate will build scalable, secure, and responsible AI architectures, overseeing the full AI lifecycle from ideation to production deployment.

Key Responsibilities :

GenAI design, architecture & development :

- Define end-to-end GenAI/AI strategy and technical architecture, aligning solutions with business objectives, security, and scalability requirements.

- Design and develop applications using GenAI LLMs (GPT, Claude, Llama, Mistral, etc ).

- Define end-to-end GenAI/AI strategy and technical architecture, aligning solutions with business objectives, security, and scalability requirements.

- Work with different python packages - Langchain, LangGraph, Streamlit, Numpy, Pandas, Scikit Learn, Transformers.

- Design and implement Retrieval-Augmented Generation (RAG) pipelines and work with vector databases (e.g., Pinecone, Weaviate, Chroma) to enhance model accuracy.

- Optimize prompt engineering techniques-including chain-of-thought, tool calling, and guardrails-to improve AI reliability.

- Deploy, optimize, and monitor GenAI models in cloud environments (AWS, Azure, or GCP) using containerization (Docker, Kubernetes).

- Create back end APIs using FastAPI.

Software Testing :

- Should have experience on software testing and knowledge on the different phases of software testing.

- Should have experience or knowledge on the different test automation frameworks - java selenium, python selenium, playwright, etc.

- Should have experience on performing- LLM validation- using frameworks like- EVALS, RAGAS- for correctness, hallucination detection, reliability, and performance benchmarking.

Documentation & Reporting :

- Prepare and maintain detailed architecture diagrams and development plans

- Report development progress to stakeholders

Good to have :

- Front end development experience using ReactJS

Required Skills & Qualifications :

- Bachelor's or Master's degree in Computer Science Engineering, or a related field.

- Proficiency in programming languages such as Python.

- Experience on designing and developing GenAI solutions using Cloud hyperscalers(AWS Bedrock, Google Vertex AI, Azure AI Foundry) services.

- Experience in developing RAG based GenAI applications. Should have worked with any of the Vector Databases - Pinecone, ChromaDB, FAISS, etc.

- Good understanding of SDLC, STLC, agile methodologies, and DevOps practices.

- Strong analytical, problem-solving, and communication skills.