Senior Agentic AI Architect

Key Skills

• Agentic AI: Multi-Agent Systems, Agent Orchestration, LLM-based application architecture
• Frameworks: Hands-on experience with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar
• GenAI: RAG, Prompt/Context Engineering, Tool Calling, Function Calling, Agent Memory
• Integration: REST APIs, MCP, event-driven integration, enterprise systems
• AI Engineering: Vector Databases, Knowledge Graphs, evaluation, observability, guardrails
• Cloud: Experience building GenAI/Agentic solutions on Google Cloud Platform, Azure or AWS
• Google ADK: Prior experience not required. Candidate should have strong fundamentals and ability to quickly learn and build using Google ADK.
• Strong Python/Software engineering and hands-on architecture experience