Forward Deployed Engineer IV, GenAI, Public Sector

About the role

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).

• Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust

CI/CD/CT automation and experimentation.

• Experience architecting integrated systems, navigating real-time inference

constraints, and implementing model quantization for resource-constrained

environments.

• Experience designing resilient data engineering pipelines using BigQuery and

VertexAI for enterprise-scale analytics.

• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec,

cost-per-request) and techniques for optimizing state management and granular

tracing.

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

[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]

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

[https://www.google.com/about/careers/applications/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.

• 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.