Field AI Engineer - Deploying Enterprise-Scale Agentic Workflows

Socket.dev

Sunnyvale (CA)

On-site

USD 207,000 - 300,000

Full time

14 days+

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Job summary

Google GPS FDE team is recruiting a senior engineer to design and deploy production-grade AI solutions. You will translate rapid prototypes into scalable agentic workflows, including multi-agent systems and MCP servers, delivering measurable ROI for public sector customers.

You will connect Google AI products with customer live infrastructure, APIs, data silos, and security perimeters, while collaborating with executive stakeholders and engineering teams to define requirements and ensure

Qualifications

Bachelor's degree in CS/engineering or equivalent practical experience.
8+ years building AI-driven production systems using Python/TypeScript.
Experience with scalable data pipelines, vector databases, and RAG-like architectures.
Experience leading executive and engineering discussions to define infrastructure requirements.
Experience architecting scalable AI systems on cloud platforms.

Responsibilities

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 measurable ROI.
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 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.