Senior Staff Cloud AI Engineer - Scalable Agent Platforms

Google; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google's engineers build next-generation technologies at scale, tackling AI, distributed systems, and data storage challenges. The teams push the state-of-the-art in AI and collaborate with product groups to deliver real-world impact.

Google Cloud AI Research focuses on innovative problems that scale to enterprise deployments, with an emphasis on governance for CISOs, auditors, and IT teams. The role involves leading complex, secure simulation environments and end-to-end evaluation pipelines.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture, and testing, launching software products.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Responsibilities

• Architect, build, and operate large-scale environments that allow developers to test complex agent behaviors, tool calling, multi-turn workflows, and end-to-end workflows in isolated, reproducible sandboxes.
• Deliver reproducible evaluation infrastructure and automated test harnesses capable of validating against enterprise visibility, security, compliance requirements.
• Design and scale the platform infrastructure that enables agentic systems to validate online and audit offline and alert based on behavioral patterns.
• Build the metrics engines and dashboards to track evaluation coverage, semantic correctness, quality metrics, and regression signals over time. Standardize the use of metrics for production health.
• Integrate evaluation runs into deployment pipelines, creating release gates to prevent semantic and structural regressions before agent deployments reach production.

Skills

Distributed systems leadership

Engineering leadership

GenAI techniques

LLM execution mechanics

Telemetry and monitoring

Education

Bachelor's degree or equivalent practical experience

Job description

Google's engineers build next-generation technologies at scale, tackling AI, distributed systems, and data storage challenges. The teams push the state-of-the-art in AI and collaborate with product groups to deliver real-world impact.

Google Cloud AI Research focuses on innovative problems that scale to enterprise deployments, with an emphasis on governance for CISOs, auditors, and IT teams. The role involves leading complex, secure simulation environments and end-to-end evaluation pipelines.