Staff Forward Deployed Engineer, Developer AI, Google Cloud
Core
Embedded builder bridging frontier AI products and production-grade reality within customers' environments, deploying bespoke agentic solutions and fixing integration complexities.
Role type
Staff Forward Deployed Engineer (Developer AI)
Builds
Production-grade agentic workflows, multi-agent systems, and developer AI tools (SDKs, CLIs) for enterprise customers.
Domain
Cloud computing, Generative AI, Enterprise Software
Deliverable
production ML models
Required skills
LLM/agent-based system deployment, end-to-end technical ownership, API integration, legacy data silo handling, security perimeter design, large-scale refactoring, spec-to-PR pipelines, automated incident resolution, multi-agent system architecture, MCP/A2A protocol implementation
Preferred skills
Multi-agent frameworks (LangGraph, CrewAI, ADK), agentic harness layers, protocol-level interoperability, LLM-native metrics optimization, state management, granular tracing
Technologies
Vertex AI, Gemini models, LangGraph, CrewAI, ADK, MCP, A2A, Atlassian Rovo, GitLab, ServiceNow, Slack
Responsibilities
Transition rapid prototypes to production-grade agentic workflows; Architect and code connective tissue between AI products and customer infrastructure; Design and deploy production-grade agentic developer workflows; Embed with customer leaders to identify SDLC bottlenecks; Integrate agentic systems into customer existing ISV and tools
Seniority
Staff, hands-on IC with executive stakeholder management
