Role Overview We are looking for a Senior GenAI & Agentic AI Architect to lead the design, development, and deployment of enterprise-grade Generative AI and autonomous agentic systems. In this role, you will bridge the gap between cutting-edge AI techniques and robust enterprise software architectures. You will build scalable multi-agent systems, design enterprise-grade RAG pipelines, optimize LLM infrastructure, and ensure end-to-end security and compliance across our cloud platforms. Required Technical

Skills:
Generative AI: LLMs, prompt engineering, embeddings, RAG, vector search, function calling, structured generation. Agentic AI: Autonomous agents, multi-agent orchestration, planning, tool use, memory, workflow state management, human-in-the-loop design. Frameworks: LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or comparable frameworks. Protocols: MCP and agent interoperability standards, where applicable. Programming:



Solid Python skills; familiarity with TypeScript or Java is an advantage. AI Infrastructure: Vector databases, model serving, inference optimization, caching, and GPU/cloud AI platforms. Cloud: Hands-on architecture experience with AWS, Azure, or GCP. Enterprise Architecture: REST APIs, microservices, event-driven systems, OAuth 2.0/OIDC, enterprise identity, and distributed systems. Data Engineering: SQL, document stores, data pipelines, knowledge graphs, data governance, and retrieval pipelines. DevOps and LLMOps: CI/CD, Docker, Kubernetes, infrastructure as code, automated testing, monitoring, and deployment automation. Security: AI threat modeling, prompt-injection defenses, authorization boundaries, data protection, and responsible AI controls. Must have

skills:
Agentic AI Architecture, LLMs, Langchain, Langgraph, Langfuse, MCP(Model Context Protocol).

📌 Agentic AI Architect (Hyderabad)
🏢 BLJ Tech Geeks
📍 Hyderabad