1 day ago
Base Salary
$184k - $257k/yr
Responsibilities
- Lead the technical architecture and deployment of large-scale enterprise AI systems.
- Build integrations between Meta AI platforms and client CRMs, data warehouses, and custom APIs.
- Translate field deployment challenges into strategic product and platform roadmap decisions.
- Define deployment patterns, build tooling, and establish engineering standards.
- Lead cross-functional technical initiatives and mentor engineers.
- Identify and resolve performance, latency, scalability, and reliability bottlenecks in production systems.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Demonstrated experience driving organizational change and leading complex technical projects.
- 8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.
- Preferred: experience architecting and deploying large-scale software and enterprise-ready AI systems.
- Preferred: experience scaling GenAI infrastructure across AWS, GCP, compute, distributed storage, and ML frameworks.
- Preferred: experience designing advanced AI testing and automated evaluation systems.
- Preferred: experience with regulated industries, enterprise compliance, SOC2, data residency, or privacy frameworks.
- Preferred: experience leading external technical engagements and translating business constraints into system designs.
- Preferred: experience integrating AI tools, implementing responsible AI practices, and developing prompt/context engineering or agent orchestration skills.
Benefits
- $183,997/year to $257,000/year plus bonus, equity, and benefits.
Tech Stack
Categories
Forward Deployed
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.