GCP AI Specialist P5 position. Experience required: 15 years.
Key Responsibilities
- GCP Gemini Enterprise Agent Platform
- Cloud Run
- Cloud Storage
- GKE
- Network
- Databases
- Architect Design and develop Gen AI Solutions AI Agents and RAG based solutions
- Build and integrate MCP servers and multi agent frameworks
- Drive architecture and technical solutioning and implementation with client
- Create architecture and design artifacts for solutioning
- Design scalable backendAPI layers using Java or Python FastAPIFlask
- Deploy and optimize solutions on Google Cloud Gemini Enterprise Agent Platform Cloud Run GKE
- Provide technical leadership guide team members and enforce code quality and best practices
- Collaborate with cross functional teams to align architecture with business needs
- Meeting the Security Standards and Align with responsible AI
Core Skills / Must Have
- Strong experience in Java
- Strong experience in Python
- API development
- backend engineering
- Strong expertise in AI architecture and design
- Hands on experience in AI app development
- ADK or LangChain
- LLMs
- Agents
- RAG pipelines
- embeddings vector search
- Proven experience building MCP servers or agent orchestration components
- Strong experience of Google Cloud Gemini Enterprise Agent Platform preferred
- Ability to lead teams mentor juniors and conduct reviews
- GCP Gemini Enterprise Agent Platform Compute Services Storage Services GKE Network Databases
Preferred Skills
- Experience with AI frameworks LangGraph LlamaIndex ADK Agent Dev Kit A2A
- Robust understanding of multi agent systems orchestration
- Experience in multi cloud is a plus
- Google Cloud certifications PCA or ML Engineer Agentic AI badges or GCP Gen AI Leader
Soft Skills
- Excellent communication stakeholder collaboration
- Strong decision making and architectural ownership
- Ability to coach teams and build engineering maturity
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