Forward Deployed Engineer IV, GenAI, Public Sector
Reston, Virginia, United States · On-site
$207k–$300k/yr
Senior$26M raised
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$207k–$300k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 45d ago
~40 hrs/week
Responsibilities
The role involves developing and deploying production-grade generative AI applications and agentic workflows for public sector clients. Engineers will architect connections between Google AI products and customer infrastructure while building evaluation and observability frameworks.
Requirements
Candidates must have at least 8 years of software development experience using Python and expertise in architecting AI systems on cloud platforms. A bachelor's degree in a technical field is required, with preference given to those holding a master's degree or PhD.
Full 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 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 RAG-like architectures to power enterprise AI solutions.
Experience leading technical discovery sessions with customers.
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 robust 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:
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.
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.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
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How much do Government & Public Sector jobs in Reston, VA pay?
Based on 777 listings with disclosed salaries, most government & public sector jobs in Reston, VA pay between $75k–$222k per year. Individual offers vary with seniority, company size, and specialization.
How many Government & Public Sector jobs are open in Reston, VA right now?
There are currently 974 open government & public sector positions in Reston, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Government & Public Sector roles in Reston, VA?
Companies currently hiring include CACI International Inc, ICF Next, Leidos, Inadev India, Workday, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Government & Public Sector jobs in Reston, VA?
Yes — 447 of the 974 open government & public sector positions offer remote or hybrid work (147 remote, 300 hybrid).
How do I apply for Government & Public Sector jobs in Reston, VA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.