Senior Enterprise AI Deployment Engineer

Meta; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Meta is seeking a Senior Forward Deployed Engineer to independently lead complex AI deployments for enterprise clients. You will embed with client engineering teams to deploy, test, and optimize large-scale AI solutions across our platform.

You will tackle latency, interoperability, and data integration challenges, designing scalable workflows and reusable tooling, while mentoring engineers and delivering measurable impact for partners.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• Experience building maintainable code bases with API design and unit testing techniques.
• 6+ years of programming or 3+ years with PhD in deploying AI applications to production.
• Experience partnering with enterprise clients / external partners on complex integrations.
• Experience with major cloud platforms (AWS, GCP) to optimize AI workflows and latency.
• Experience implementing testing/evaluation frameworks for AI systems.

Responsibilities

• Own deployments: manage deployment lifecycle with client teams.
• Build integrations between Meta AI platforms and client systems.
• Architect scalable solutions and resolve latency bottlenecks.
• Develop reusable tooling and playbooks to accelerate future work.
• Implement robust evaluation frameworks for AI reliability and safety.
• Provide technical leadership and mentorship across teams.

Skills

Technical leadership

Cloud platforms

API design

Unit testing

Cross-functional collaboration

Performance optimization

Independent project leadership

AI deployment

Education

Bachelor's degree in Computer Science, Computer Engineering, or equivalent

Tools

AWS

GCP

APIs

CI/CD

Job description

Meta is seeking a Senior Forward Deployed Engineer to independently lead complex AI deployments for enterprise clients. You will embed with client engineering teams to deploy, test, and optimize large-scale AI solutions across our platform.

You will tackle latency, interoperability, and data integration challenges, designing scalable workflows and reusable tooling, while mentoring engineers and delivering measurable impact for partners.