Must have 14+ years of experience working in Data science, GenAI and NLP technologies.
Experts in guiding customer, solution design using architecture principles
Must have hands-on experience on Agentic AI frameworks LangGraph, Langchain, LlamaIndex, MCP etc.
Experience in selecting and using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc.
Expert design and develop solutions using RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP etc.
Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
DAR for applying best solution for problem statements
Experience with hands-on Python programming language in a must. Should know other languages too
Ability to develop Python code as needed, set standards and train the Developers based on business needs.
Enforce reusable framework, component development and sharing across solutions
Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments. Experience in Observability

For AWS

Looking for a highly skilled GenAI and Agentic AI Architect with deep hands-on expertise across AWS AI/ML services, multi-agent systems,



LLM orchestration, and cloud-native engineering. This role centers on architecting and delivering scalable, secure, production-grade GenAI solutions using AWS AgentCore, AWS Bedrock, AWS Strands SDK, vector databases, and Python-based agentic AI solutions. You will define reference architectures, code solutions, lead complex implementations, and drive adoption of advanced GenAI and agentic patterns across enterprise systems.

For Azure

Looking for a highly skilled GenAI and Agentic AI Architect with deep hands-on expertise across Microsoft Azures AI/ML ecosystem, multi-agent frameworks, LLM orchestration, and cloud-native engineering. This role focuses on architecting and delivering scalable, secure, production-grade GenAI systems leveraging Azure AI Foundry, Azure OpenAI, Azure Agents, Microsoft Agent Framework, Langgraph/CrewAI, vector databases, and Python-based agentic AI solutions. You will define reference architectures, build end-to-end solutions, lead complex implementations, and drive enterprise adoption of advanced GenAI and multi-agent patterns.

📌 Architect Gen Ai Aws / Azure Hyderabad
🏢 SSJ Solutions
📍 Hyderabad