GenAI Forward-Deployed Engineer, Public Sector

Google; Reston (VA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Public Sector, based in Reston, VA, is hiring a Forward Deployed Engineer IV to advance GenAI solutions for federal and state clients. You will move prototypes to production-grade agentic workflows and collaborate with customers to integrate AI into live infrastructures.

Role emphasizes solving complex problems, owning outcomes, and guiding enterprise deployments with a focus on security, compliance, and scalable analytics. Strong expertise in Python, GCP, and data pipelines is required.

Qualifications

• Bachelor’s degree or equivalent practical experience.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs and data silos.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and convert them into reusable modules or product feature requests.
• Co-build with Customer Engineering teams to ensure long-term project success.

Skills

Python

Google Cloud Platform (GCP)

Vector databases

RAG architectures

Customer discovery

Multi-agent systems

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

BigQuery

VertexAI

Job description

Google Public Sector, based in Reston, VA, is hiring a Forward Deployed Engineer IV to advance GenAI solutions for federal and state clients. You will move prototypes to production-grade agentic workflows and collaborate with customers to integrate AI into live infrastructures.

Role emphasizes solving complex problems, owning outcomes, and guiding enterprise deployments with a focus on security, compliance, and scalable analytics. Strong expertise in Python, GCP, and data pipelines is required.