Seeking a seasoned Generative AI Architect with over 14 years of experience to lead innovative solutions. This role focuses on guiding customers and designing complex architectures using cutting-edge GenAI and NLP technologies. You will be instrumental in shaping the future of AI-driven solutions.

This is an onsite position based in our Noida, India office.

Spearhead customer engagements and architect solutions leveraging advanced data science, GenAI, and NLP capabilities. Develop and implement Agentic AI frameworks like LangGraph, Langchain, and LlamaIndex. Select and utilize a range of LLMs, VLMs, and SLMs, both proprietary and open-source. Design and build sophisticated solutions using RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, and MCP.

Handle diverse datasets, including large unstructured files and structured data lakes. Apply Data Architecture Review (DAR) principles to ensure optimal solution design. Develop robust Python code, establish coding standards, and mentor development teams. Champion the creation and adoption of reusable frameworks and components across projects.

A minimum of 14 years of professional experience in Data Science, Generative AI, and NLP is essential. Proven expertise in guiding customer solution design through architectural principles. Hands-on experience with Agentic AI frameworks such as LangGraph, Langchain, LlamaIndex, and MCP is required. Proficiency in selecting and deploying both paid (e.g., OpenAI on Azure, Bedrock in AWS) and open-source LLMs, VLMs, and SLMs.

Demonstrated ability to design and develop solutions incorporating RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, and MCP. Experience in managing and processing large-scale unstructured and structured data. Strong hands-on Python programming skills are mandatory, with familiarity in other languages being an advantage. Experience with the AWS or Azure cloud ecosystems, including Kubernetes and serverless deployments, along with Observability tools, is crucial.