Forward Deployed Engineer, National Security, Google Public Sector

Google LLC; Town of Montana (WI); Sur place; USD 207 000 - 300 000; Plein temps

Résumé du poste

Google Public Sector is hiring a Forward Deployed Engineer to design and deploy secure AI solutions for government-scale environments. You will address data sovereignty, integration, and security challenges while partnering with customers to co-build agentic workflows.

The role emphasizes hands-on coding, rapid prototyping to production, and collaboration with cross-functional teams to accelerate adoption of generative AI in mission-critical operations.

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.

Responsabilités

• 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, including APIs, legacy data silos, and security perimeters.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements.
• Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests.
• Co-build with Customer Engineering teams to instill Google-grade development practices and ensure long-term project success.

Connaissances

Python

RAG-like architectures

AI systems on cloud platforms

lead technical discovery sessions

security clearance

Formation

Bachelor's degree in Engineering/CS or related field

Master's degree or PhD (preferred)

Outils

Google Cloud Platform (GCP)

Vector databases

LangGraph

CrewAI

ADK

Vertex AI Pipelines

Kubeflow

MLflow

BigQuery

Description du poste

Forward Deployed Engineer, National Security, Google Public Sector

Location: Reston, VA, USA

Experience Level: Advanced

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

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 a 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 Salary

$207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

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.

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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.

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.

Locations

Reston, VA, USA

Experience Level

Advanced

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