Forward Deployed Engineer, Higher Education, Google Public Sector

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

The Google Public Sector Forward Deployed Engineering (GPS FDE) team delivers production-grade, secure AI solutions for federal and state organizations. You will work directly with customers to co-build agentic workflows, resolve integration, data sovereignty and compliance challenges, and help accelerate safe AI adoption.

As part of a high‑autonomy team, you’ll code and debug alongside customers, shaping enterprise-grade AI deployments that scale and produce measurable business impact.

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.

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.

Skills

Python

TypeScript

Vector databases

RAG architectures

Cloud architecture

Stakeholder communication

AI systems

Education

Bachelor's degree in CS/Engineering or equivalent

Master’s or PhD in AI/CS

Tools

Vertex AI Pipelines

Kubeflow

MLflow

LangGraph

CrewAI

Job description

Forward Deployed Engineer, Higher Education, Google Public Sector

Share Forward Deployed Engineer, Higher Education, Google Public Sector

corporate_fare Google place Sunnyvale, CA, USA

In most instances, this position requires in-person interviews as part of the hiring process. Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

• 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 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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionally by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.