GCP GenAI or Agentic AI Architect

We’re looking for an experienced GenAI / Agentic AI Solution Architect with 15+ years in software/solution architecture and strong expertise in designing enterprise AI solutions.

Must-Have Skills:

• Agentic AI frameworks: LangChain, LangGraph, CrewAI, AutoGen, Vertex AI
• Prompt Engineering, RAG pipelines, Vector Databases, MCP Servers, A2A, LLMOps
• Cloud AI platforms: AWS Bedrock, Azure OpenAI, or GCP Vertex AI
• AI engineering tools: GitHub Copilot, Cursor, Windsurf
• Python (preferred); Java/Node.js is a plus
• Microservices with Spring Boot REST APIs , API security & versioning
• Cloud-native architecture on AWS/Azure/GCP , Docker, Kubernetes, CI/CD
• Experience defining GenAI architecture, governance, reusable patterns, scalability, security, and performance

Good to Have:

• Cloud Native Architecture
• Microservices Architecture

Key Responsibilities:

• Design and implement enterprise-scale multi-agent AI solutions.
• Build scalable, secure, and production-ready GenAI applications.
• Collaborate with business, product, and data science teams to deliver AI-driven solutions.
• Drive architecture best practices, LLMOps, and technical governance.

Preferred Profile: Strong communication and stakeholder management skills with hands-on experience in enterprise AI architecture.