Forward Deployed Engineer IV, GenAI, Google Public Sector

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

Job summary

Google Public Sector is seeking a Forward Deployed Engineer IV to own AI outcomes in enterprise environments. You will design and implement agentic workflows, connect Google AI products to customer infrastructure, and ensure safety and performance standards.

Based in Reston, VA, you will work with cross‑functional teams across Federal and state sectors, influencing decisions and guiding architectural choices. TS/SCI clearance required, with competitive compensation and benefits.

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.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable ROI.
• Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns in Google’s AI stack and convert them into reusable modules or feature requests.
• Co-build with Customer Engineering teams to ensure long-term project success and adoption.

Skills

Python

Data pipelines

Cloud platforms

Stakeholder influence

Security clearance

Education

Bachelor's degree in Engineering/CS

Master's or PhD in AI/CS

Tools

LangGraph

CrewAI

ADK

Vertex AI Pipelines

Kubeflow

Job description

Forward Deployed Engineer IV, GenAI, 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 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

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.


• 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.

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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.

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