- 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