Forward Deployed Engineer, GenAI, Google Public Sector

Google; Reston (VA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus program

Benefits

Job summary

Google Public Sector Forward Deployed Engineering (GPS FDE) seeks engineers to develop production-grade AI workflows, including multi-agent systems, directly with customers in government environments.

Role demands TS/SCI clearance, strong Python, data pipelines, and cloud experience (GCP, Vertex AI, BigQuery). Compensation ranges from $207,000 to $300,000 USD, plus 20% bonus target, equity, and benefits.

Qualifications

• Bachelor’s degree in engineering/science or equivalent practical experience.
• 8 years of software development experience, preferably with Python.
• Experience building data pipelines and AI systems on cloud platforms.
• Top Secret/SCI clearance is required.

Responsibilities

• Develop complex AI applications and agentic workflows.
• Connect Google AI products with customer infrastructure and security perimeters.
• Build evaluation pipelines and observability for accuracy, safety, and latency.
• Identify reusable modules and influence product features for engineering teams.
• Co-build with Customer Engineering to ensure long-term project success.

Skills

Python

Data pipelines

Customer discovery

Team leadership

Security clearance

Education

Bachelor's degree or equivalent

Tools

Google Cloud Platform

Vertex AI

BigQuery

Kubeflow

MLflow

Job description

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience leading technical discovery sessions with customers.
• Must possess an active Top Secret/SCI security clearance.

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, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Proven experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource‑constrained environments.
• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust CI/CD/CT automation and experimentation.
• Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise‑scale analytics.

About The Job

The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of direct \"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. We resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. 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, model context protocol (MCP) servers) that drive measurable return on investment.
• 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 rigorous 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 .