Forward Deployed Engineer, Higher Education, Google Public Sector

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Public Sector seeks a Forward Deployed Engineer to design and deploy production-grade AI workflows with customers in mind. You will bridge Google's AI products to client infrastructure, focusing on data sovereignty, security, and scalable architectures.

Role requires Python/TypeScript, cloud expertise, and leadership in technical discovery sessions with C-suite stakeholders. This position emphasizes hands-on coding and co-building agentic workflows alongside customers.

Qualifications

• Bachelor's degree in CS, Engineering, or related field; equivalent practical experience.
• 8 years of experience building AI-driven solutions for external/internal customers using Python/TypeScript.
• Experience building scalable data pipelines with structured/unstructured data, vectors, and RAG-like architectures.
• Experience leading technical discovery sessions with executives to define AI and infrastructure needs.
• Experience architecting scalable AI systems on cloud platforms.

Responsibilities

• Develop complex AI applications transitioning prototypes to production-grade workflows.
• Architect and connect Google's AI products with customer live infrastructure and security perimeters.
• Build high-performance evaluation pipelines and observability to ensure accuracy, safety and latency.
• Identify repeatable field patterns and convert them into reusable modules for engineering teams.
• Collaborate with customer teams to ensure long-term project success and adoption.

Skills

Python

TypeScript

AI pipelines

Cloud platforms

Stakeholder leadership

Education

Bachelor's degree in Computer Science or Engineering

Tools

LangGraph

CrewAI

ADK

Vertex AI Pipelines

Kubeflow

MLflow

Job description

Forward Deployed Engineer, Higher Education, Google Public Sector

Location: Sunnyvale, CA, USA

Experience Level: Advanced

In most instances, this position requires in-person interviews as part of the hiring process.

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 within strict compliance frameworks, utilizing talent with TS/SCI clearances. 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 Salary: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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.

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.

Additional Information

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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 discretionarily 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.