Staff AI Solutions Deployment Developer, Applied AI

Responsibilities

• Contribute to technical engagements from 0-to-1, defining the agent’s brain (reasoning paths), hands (API tools), and guardrails to ensure resilient, autonomous infrastructure.
• Mitigate high-stakes customer escalations, providing direct debugging and architectural guidance to customer developers and C-suite teams.
• Deploy pre-general availability features in real-world environments to stress-test capabilities, synthesizing field intelligence to directly influence the Google Cloud Product and Developer roadmaps.
• Advocate for foundational architectural frameworks such as Agent-MVC and pioneer advanced techniques like cyclic reasoning loops to accelerate time-to-value.
• Bridge the gap between non-deterministic LLM outputs and deterministic enterprise systems (e.g., SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails.
• - Contribute to technical engagements from 0-to-1, defining the agent’s brain (reasoning paths), hands (API tools), and guardrails to ensure resilient, autonomous infrastructure. - Mitigate high-stakes customer escalations, providing direct debugging and architectural guidance to customer developers and C-suite teams. - Deploy pre-general availability features in real-world environments to stress-test capabilities, synthesizing field intelligence to directly influence the Google Cloud Product and Developer roadmaps. - Advocate for foundational architectural frameworks such as Agent-MVC and pioneer advanced techniques like cyclic reasoning loops to accelerate time-to-value. - Bridge the gap between non-deterministic LLM outputs and deterministic enterprise systems (e.g., SAP, Salesforce) to ensure safe, reliable agentic operations within guardrails.

Minimum qualifications: