Forward Deployed Engineer, Enterprise AI

$184K–$257K

Menlo Park, CA +1 · Full-time · Posted Aug 14, 2026

Location: Menlo Park, CA
Seattle, WA
Experience: 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD.
Education: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Leads enterprise deployments of Meta AI systems, builds integrations with client infrastructure, and uses deployment insights to shape Meta’s AI products and platform roadmap.

What you'll do

Architect, build, and optimize secure, scalable enterprise AI deployments and integrations.
Turn field challenges and customer feedback into technical proposals that shape product roadmaps; establish deployment standards and tooling.
Lead cross-functional technical engagements and mentor engineers.

What they ask for

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
8+ years of programming experience in a relevant language OR 4+ years experience with a PhD.
Experience architecting and deploying large-scale software systems and scaling GenAI infrastructure across major cloud platforms.
Experience designing advanced AI testing systems and applying responsible AI practices.

Nice to have

Experience in regulated industries or with enterprise compliance requirements.
Experience leading technical engagements with external engineering teams and integrating AI to improve workflows.

Pay

$183,997/year to $257,000/year (base salary)

Tools

AWS, GCP, CRMs, data warehouses, custom APIs, ML frameworks

AI focus

Enterprise AI deployment and integration; GenAI infrastructure; AI evaluation for hallucinations, reasoning gaps, and safety; responsible AI practices; prompt/context engineering and agent orchestration.

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