Senior Forward-Deployed AI Engineer (Enterprise Cloud)

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

Job summary

Google Public Sector, GPS FDE, is seeking engineers to rapidly deploy secure AI solutions across Federal and SLED environments. You will help deploy production-grade, agentic workflows and integration layers with customer infrastructure, APIs, and data perimeters.

As part of a fast-moving squad, you will contribute to the design and implementation of scalable, compliant AI systems, balancing performance with security and governance requirements across mission-critical operations.

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 building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience leading technical discovery sessions with customers.
• Must possess an active Top Secret/SCI security clearance.

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.

Skills

Python development

Technical leadership

Discovery sessions

Education

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience

Tools

GCP

BigQuery

Vertex AI Pipelines

Kubeflow

MLflow

Job description

Google Public Sector, GPS FDE, is seeking engineers to rapidly deploy secure AI solutions across Federal and SLED environments. You will help deploy production-grade, agentic workflows and integration layers with customer infrastructure, APIs, and data perimeters.

As part of a fast-moving squad, you will contribute to the design and implementation of scalable, compliant AI systems, balancing performance with security and governance requirements across mission-critical operations.