Forward Deployed Engineer IV, Google Public Sector

Google; United States; On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Google Public Sector is seeking a Forward Deployed Engineer IV in Reston, VA to lead production-grade AI integrations. You will architect and implement agentic workflows, connect Google AI products to customer infrastructure, and ensure high performance, security, and scalability across federal and education sectors.

The role demands advanced AI/cloud experience and active TS/SCI clearance. You will collaborate with customers and Google's product teams to deliver resilient data pipelines,

Qualifications

• Masters or PhD preferred in AI/CS or related tech field.
• Experience architecting AI systems on cloud platforms (GCP).
• 8+ years in software development with Python or similar languages.
• Experience building data pipelines with vector databases and RAG architectures.
• Active Top Secret/SCI clearance with polygraph.

Responsibilities

• Develop complex AI applications and production-grade agentic workflows.
• Connect Google's AI products with customers' live infra via APIs and data silos.
• Develop evaluation pipelines and observability for accuracy, safety, latency.
• Identify reusable modules and contribute feature requests to Eng teams.
• Co-build with Customer Engineering to promote adoption and best practices.

Skills

Python development

AI systems on cloud platforms

Vector databases

RAG architectures

Discovery sessions

Security clearance

Education

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience

Master's degree or PhD in AI, Computer Science, or a related technical field

Tools

LangGraph

CrewAI

ADK

Vertex AI Pipelines

Kubeflow

MLflow

Job description

Forward Deployed Engineer IV, Google Public Sector

Location: Reston, VA, USA

Experience Level: Advanced

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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.

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

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 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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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.

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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.