GenAI Architect – Agentic AI (Azure & Google AI)

Job Description: 
-Lead the design and implementation of agentic AI systems across Azure OpenAI and Google Cloud AI (Vertex AI, Gemini). 
-You will develop advanced orchestrated reasoning workflows powered by autonomous agents, orchestrator frameworks, and Model Context Protocols (MCP) that enable seamless collaboration between agents and models
-7+ years of experience in software development or AI architecture roles.
-At least 2 years building LLM-based or agentic AI solutions in production.
-Strong experience with Azure OpenAI, Google Vertex AI, and cloud-native application design.
-Deep understanding of Model Context Protocols (MCP) and how they facilitate coordination and memory in agentic systems.
-Proven experience implementing Mixture of Experts architectures or intelligent task-routing across agents/models.
-Fluency in Python and experience with LLM orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel).
-Familiarity with vector databases (FAISS, Pinecone, Weaviate) and prompt engineering best practices.
-Experience integrating AI solutions with enterprise systems and APIs.

Preferred Qualifications:
-AI/ML certifications on Azure or Google Cloud.
-Experience with retrieval-augmented generation (RAG), long-context memory management, and knowledge graphs.
-Background in symbolic reasoning, planning systems, or multi-agent simulation environments.
-Exposure to CI/CD for ML, secure agent deployment, and observability tooling.Python