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Forward Deployed Engineer, State and Local Government, Google Public Sector

Job in New York, New York County, New York, 10261, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-09-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 207000 - 300000 USD Yearly USD 207000.00 300000.00 YEAR
Job Description & How to Apply Below
Location: New York

Forward Deployed Engineer, State and Local Government, Google Public Sector

Google New York, NY, USA

Advanced

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

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

Requirements
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 8 years of experience building and shipping production‑grade AI‑driven solutions to external or internal customers using Python, Type Script or comparable languages.
  • Experience building scalable pipelines for structured, unstructured data, incorporating vector databases and RAG‑like architectures to power enterprise‑grade AI solutions.
  • Experience architecting scalable AI systems on cloud platforms.
  • Experience leading technical discovery sessions with executive stakeholders (C‑suite) and engineering teams to define AI and hardware infrastructure requirements.
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., Lang Graph, CrewAI, or Google’s ADK) and complex patterns like ReAct, self‑reflection, and 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 "LLM‑native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Designing resilient data engineering pipelines using Big Query and VertexAI for enterprise‑scale analytics.
About the job

The Google Public Sector Forward Deployed Engineering (GPS FDE) team squad of "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 issues within strict compliance frameworks, utilizing talent with TS/SCI clearances.

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.

As a Forward Deployed Engineer (FDE) in Google Public Sector (GPS), you will be an embedded builder who bridges the gap between frontier AI products and production‑grade reality within customers. Unlike traditional advisory roles, you will function as a moving beyond high‑level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high‑agency engineers with a founder’s mindset. You will manage blockers to production including solving the integration complexities, data readiness issues, and state‑management issues that prevent AI from reaching enterprise‑grade maturity. By embedding with accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real‑world field insights into Google Cloud’s future product roadmap.

This role will be focusing on the State and Local Government Market.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‑grade agentic workflows (e.g., multi‑agent systems, MCP servers) that drive…
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