Forward Deployed Engineer, Higher Education, Google Public Sector

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

Job summary

Google Public Sector's GPS FDE team rapidly deploys secure AI solutions across Federal and state environments. You will tackle integration, data sovereignty, and security challenges while co-building agentic workflows with customers, ensuring safe and scalable AI adoption.

The role emphasizes hands-on coding, collaboration with customers, and delivering production-grade AI systems that meet real-world constraints and compliance requirements.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience building and shipping production-grade AI-driven solutions using Python/TypeScript.
• Experience building scalable pipelines for structured/unstructured data with vector databases and RAG-like architectures.
• Experience leading technical discovery sessions with executive stakeholders 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.
• Architect and code the connective tissue between Google’s AI products and customers' live infrastructure, including APIs and data silos.
• Build high-performance evaluation pipelines and observability frameworks to ensure accuracy, safety and latency.
• Identify repeatable field patterns and convert them into reusable modules or feature requests for Engineering teams.
• Co-build with customer engineering teams to ensure long-term project success and high end-user adoption.

Skills

Python

TypeScript

AI systems design

Distributed systems

Technical leadership

Education

Bachelor's degree in CS/Engineering or equivalent

Master's or PhD preferred

Tools

Vertex AI Pipelines

Kubeflow

MLflow

LangGraph

CrewAI

Google ADK

Job description

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.

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 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

Responsibilities

Learn more about benefits at Google .

• 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.