Senior GenAI Engineer, Public Sector Deployments

Socket.dev; Reston (VA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Public Sector Forward Deployed Engineering (GPS FDE) engineers rapidly deploy production-grade, secure AI solutions across federal and SLED environments. They code, debug, and co-build bespoke agentic workflows with customers, overcoming complex integration and security challenges within strict compliance.

We focus on safe, reliable adoption of generative AI and feed field insights back to Google Cloud Product engineering, supporting government and education clients.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field or equivalent practical experience.
• 8 years of software development experience in Python or similar languages.
• Experience architecting AI systems on cloud platforms (GCP).
• Experience building data pipelines with vector databases and RAG architectures.
• Experience leading technical discovery sessions with customers.

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 for product teams.
• Co-build with Customer Engineering teams to instill Google-grade development best practices.

Skills

Python

AI system architecture

Customer discovery

Real-time inference

LLM metrics

State management

Tracing

Vector databases

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Master’s degree or PhD in AI/CS or related field

Tools

LangGraph

CrewAI

ADK

Vertex AI Pipelines

Kubeflow

MLflow

BigQuery

VertexAI

GCP

Job description

Google Public Sector Forward Deployed Engineering (GPS FDE) engineers rapidly deploy production-grade, secure AI solutions across federal and SLED environments. They code, debug, and co-build bespoke agentic workflows with customers, overcoming complex integration and security challenges within strict compliance.

We focus on safe, reliable adoption of generative AI and feed field insights back to Google Cloud Product engineering, supporting government and education clients.