GenAI Architect

Role: GenAI Architect Experience: 6 - 12 Years Band: B3 Job Type: Permanent Location: Hyderabad / Bangalore Notice Period: Immediate Joiner Job Summary We are looking for a GenAI Architect to design, develop, and implement enterprise Generative AI solutions. The role involves building scalable AI architectures using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud AI services. The candidate will be responsible for the complete AI lifecycle, from solution design to production deployment, while ensuring scalability, security, and performance. Key Responsibilities GenAI Architecture & Development Design end-to-end GenAI solution architecture aligned with business, security, and scalability requirements. Develop GenAI applications using LLMs such as GPT, Claude, Llama, and Mistral. Build and implement Retrieval-Augmented Generation (RAG) pipelines. Work with vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate. Develop AI applications using Python libraries including LangChain, LangGraph, Streamlit, NumPy, Pandas, Scikit-learn, and Transformers. Implement prompt engineering techniques, including chain-of-thought prompting, tool calling, and guardrails. Develop backend APIs using FastAPI. Deploy and manage GenAI applications on AWS, Azure, or GCP using Docker and Kubernetes. Monitor, optimize, and maintain AI solutions in production. Software Testing Participate in software testing activities across different phases of the STLC. Work with test automation frameworks such as Selenium (Java/Python) and Playwright. Perform LLM evaluation and validation using frameworks such as EVALS and RAGAS for correctness, hallucination detection, reliability, and performance benchmarking. Documentation & Reporting Prepare and maintain solution architecture documents and technical designs. Maintain development documentation and implementation plans. Provide regular project status updates to stakeholders. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6 - 12 years of software development experience with strong proficiency in Python. Experience designing and developing Generative AI solutions. Hands-on experience with cloud AI platforms such as AWS Bedrock, Google Vertex AI, or Azure AI Foundry. Experience building RAG-based GenAI applications. Hands-on experience with vector databases such as Pinecone, ChromaDB, FAISS, or Weaviate. Experience with LangChain, LangGraph, Streamlit, Transformers, NumPy, Pandas, and Scikit-learn. Experience developing REST APIs using FastAPI. Knowledge of Docker and Kubernetes. Understanding of SDLC, STLC, Agile methodologies, and DevOps practices. Strong analytical, problem-solving, and communication skills. Good to Have Experience with ReactJS. Knowledge of Agentic AI frameworks and workflows.