Senior Enterprise AI Field Engineer & Systems Architect

Meta; Menlo Park, Seattle (CA, WA); On-site; USD 230,000 - 320,000; Full time

Job summary

Meta is seeking a Staff Forward Deployed Engineer to serve as the primary technical bridge between Meta's internal teams and enterprise clients in Menlo Park, CA. You will lead architecture and rollout of large-scale AI systems, working side-by-side with engineering leaders to adapt our AI platform to client environments and constraints.

You will take field friction—like optimizing inference speeds, interoperability issues, and external data connections—and turn it into concrete technical

Qualifications

• Lead architecture and rollout of large-scale AI systems for enterprise partners.
• Bridge between Meta's internal teams and enterprise clients to tailor AI platforms.

Responsibilities

• Architect and deploy large-scale software systems used in GenAI infrastructure.
• Drive cross-functional engagement with enterprise clients and engineering leaders.
• Translate field feedback into robust product and platform roadmaps.
• Optimize inference speeds and interoperability across environments.

Skills

Large-scale system design

GenAI infrastructure scaling

Technical leadership

Customer-facing engagements

Prompt/context engineering

Education

Bachelor's degree in CS/CE or equivalent

PhD in a relevant field

Tools

AWS

GCP

ML frameworks

Job description

Meta is seeking a Staff Forward Deployed Engineer to serve as the primary technical bridge between Meta's internal teams and enterprise clients in Menlo Park, CA. You will lead architecture and rollout of large-scale AI systems, working side-by-side with engineering leaders to adapt our AI platform to client environments and constraints.

You will take field friction—like optimizing inference speeds, interoperability issues, and external data connections—and turn it into concrete technical