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Forward Deployed Engineer, Higher Education, Google Public Sector

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Sunnyvale, CA, USA$207k - $300kNot specifiedPosted 1mo ago

About the role

Advanced Frontline role in Google Public Sector focusing on deploying production-grade, secure AI solutions for Higher Education. Involves hands-on coding, integration with customer infrastructure, and building reusable agentic AI modules while ensuring safety, latency, and ROI.

Responsibilities

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
  • Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety and latency.
  • Identify repeatable 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 customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
  • Experience building scalable pipelines for structured, unstructured data, incorporating vector databases and RAG-like architectures to power enterprise-grade AI solutions.
  • Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements.
  • Experience architecting scalable AI systems on cloud platforms.

Skills

Required:AI/ML system designPythonTypeScriptData pipelinesStakeholder engagement
Last updated Oct 23, 2026. Interested? Apply on the company site.

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