Forward Deployed Engineer, Enterprise AI
Meta· Engineering
Hybrid (Menlo Park, CA), RemoteFull-timePosted 4d ago
About the role
We help global enterprise partners integrate Meta's foundation models and AI tools directly into their core products and infrastructure. The role acts as the primary technical bridge between Meta's internal engineering teams and enterprise clients, leading architecture and rollout of large-scale AI systems and turning field friction into concrete technical proposals to influence Meta's core AI tools and ecosystem.
Responsibilities
- Architect Systems: Lead the technical design for major enterprise AI deployments. Ensure the solutions can scale, remain secure, and adhere to strict partner compliance requirements.
- Build Integrations: Design reliable connections between Meta's AI platforms and client infrastructure, including CRMs, data warehouses, and custom APIs.
- Drive the Roadmap: Serve as the definitive technical link between field deployments and internal platform teams. Synthesize real-world deployment challenges into strategic decisions that shape Meta's core AI products.
- Establish Standards: Define deployment patterns, build tooling, and set engineering standards that reduce technical debt and speed up future execution across the team.
- Lead and Mentor: Set technical direction, drive major cross-functional initiatives, and provide deep technical mentorship to uplevel the team and guide new engineers.
- Optimize at Scale: Identify and resolve complex performance, latency, and scalability bottlenecks to ensure reliable performance in live production environments.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
- Demonstrated experience driving change within an organization and leading complex technical projects
- 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
Benefits
- Bonus
- Equity
- Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.
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