Forward Deployed Engineer, Higher Education, Google Public Sector

About the role

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.