Staff Gen AI Engineer, Forward Deployed, Google Cloud

Responsibilities

• Serve as a team lead and developer within the strategic AI partner for AI applications, working with partner’s teams to transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable ROI.
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with a strategic AI partner’s own Forward Deployed Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
• Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.
• - Serve as a team lead and developer within the strategic AI partner for AI applications, working with partner’s teams to transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable ROI. - Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency. - Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. - Co-build with a strategic AI partner’s own Forward Deployed Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. - Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 8 years of experience with software development using Python or similar coding languages. - Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform). - Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. - Experience taking production-grade AI-driven solutions from conception to launch for customers. - Experience leading technical discovery sessions with customers. Preferred qualifications: - Master’s degree or PhD in AI, Computer Science, or a related technical field. - Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). - Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.