Forward Deployed Engineer IV, Google Public Sector

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

Benefits offered by this job

Equity

Job summary

Google Public Sector seeks a Forward Deployed Engineer IV in Reston, VA to design and deliver production‑grade AI solutions for governmental customers. You will own end‑to‑end outcomes, connect AI products to customer environments, and lead complex integration efforts with security in mind.

The role requires deep expertise in Python, cloud AI tooling, and RIS/RAI‑native architectures, along with a Top Secret/SCI clearance.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience with Python or similar.
• Experience architecting AI systems on cloud platforms (GCP).
• Experience building data pipelines using vector databases and RAG-like architectures.
• Experience leading technical discovery sessions with customers.
• Active Top Secret/SCI clearance with current polygraph.

Responsibilities

• Develop complex AI applications and production‑grade agentic workflows.
• Connect Google AI products with customer live infrastructure and security perimeters.
• Build high‑performance evaluation pipelines and observability frameworks.
• Identify reusable patterns and convert them into product features for engineers.
• Collaborate with Customer Engineering to promote Google‑grade development practices.

Skills

Python

Cloud architecture

AI systems

Discovery sessions

Security clearance

Education

Bachelor’s degree in Engineering/CS or related field

Master’s or PhD in AI/CS

Tools

Vertex AI Pipelines

Kubeflow

MLflow

LangGraph

CrewAI

ADK

Job description

Forward Deployed Engineer IV, Google Public Sector

Google

Reston, VA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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 architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
• Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions with customers.
• Must possess an active Top Secret/SCI security clearance with current polygraph.

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.
• Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement CI/CD/CT automation and experimentation.
• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise‑scale analytics.

About the job

As a part of the Google Public Sector Forward Deployed Engineering (GPS FDE) team, you will join squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. You will operate with a high-agency startup mindset, where engineers don’t just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside customers. You will resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. You will help the GPS FDE team accelerate 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

Learn more about benefits at Google.

Responsibilities

• 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 (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 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 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.