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Forward Deployed Engineer, Higher Education, Google Public Sector

Google, Sunnyvale, California

Posted pay

Pay not posted

Location: Sunnyvale, California
Work type: Onsite
Level: Not given
Posted: 5 days ago
Last check: 2 days ago
Job type: Software engineering, Inference & ML systems

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About the job

Minimum 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.

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, or Google’s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.

Proven experience architecting integrated systems, navigating real-time

inference constraints, and implementing model quantization for resource-constrained environments.

Experience partnering with Higher Education customers, specifically R1

institutions, to drive digital transformation and AI-readiness.

Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and

techniques for optimizing state management and granular tracing.

Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement CI/CD/CT

automation and experimentation.

About the job

The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers don’t just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. In this role, you will resolve complex integration, data sovereignty, and security issues. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.

Google Public Sector [https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.] brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

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.

Read the job posting on the Google site

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Source: the company job board. We last checked this job 2 days ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now.

See total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.

Google

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With posted pay: 16%
Median posted base: $174K–$252K

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