Senior Enterprise AI Deployment Engineer

FACEBOOK SINGAPORE PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Meta is hiring a Senior Forward Deployed Engineer in Singapore to independently lead complex technical integrations with top enterprise clients. You will embed with partner engineering teams to deploy, test, and optimize large-scale AI solutions, ensuring smooth production handoffs and measurable impact.

This hands-on role focuses on reducing latency, building secure data connectors, and translating challenges into actionable feedback for internal teams, while mentoring peers and guiding

Qualifications

• Track record of setting technical direction for a team and cross-functional partnerships.
• Bachelor's degree in CS/Engineering or equivalent practical experience.
• Experience building maintainable codebases, API design, and unit testing techniques.
• 6+ years of programming experience or 3+ years with a PhD.

Responsibilities

• Own Deployments: Embed directly with client engineering teams to manage the complete deployment lifecycle of AI solutions, from technical scoping to production handoff.
• Build Integrations & Workflows: Design and implement robust connections between Meta's AI platforms and client systems, configuring workflows to meet partner needs.
• System Optimization: Architect scalable solutions, analyze code quality, and resolve performance and latency bottlenecks.
• Develop Reusable Tooling: Create reusable components and playbooks to accelerate future deployments.
• Implement Evaluation Frameworks: Build testing frameworks to ensure AI reliability, safety, and accuracy.
• Provide Technical Leadership: Lead complex technical efforts and mentor peer engineers.

Skills

Technical leadership

Cross-functional collaboration

API design

Unit testing

Programming experience

Education

Bachelor's degree in CS/Engineering

PhD

Tools

AWS

GCP

Job description

Meta is hiring a Senior Forward Deployed Engineer in Singapore to independently lead complex technical integrations with top enterprise clients. You will embed with partner engineering teams to deploy, test, and optimize large-scale AI solutions, ensuring smooth production handoffs and measurable impact.

This hands-on role focuses on reducing latency, building secure data connectors, and translating challenges into actionable feedback for internal teams, while mentoring peers and guiding