Enterprise AI Systems Architect — Forward-Deployed Lead

Meta

Boston (MA)

On-site

USD 184,000 - 257,000

Full time

6 days ago
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Benefits offered by this job

Bonus and equity

Job summary

Meta is seeking a Staff Forward Deployed Engineer to bridge Meta's AI platforms with enterprise clients in Boston. You will architect and rollout large-scale AI systems, optimize performance, and ensure secure, compliant deployments.

You will elevate engineering practices, mentor teams, and shape product roadmaps with hands-on customer insights. You will lead cross-functional initiatives, design scalable integrations, and drive advanced AI testing and governance across major cloud environments.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • Experience turning field feedback into technical proposals.
  • Proven ability to drive complex technical projects.

Responsibilities

  • Architect systems for enterprise AI deployments with scalability and security.
  • Build integrations between Meta platforms and client infra like CRMs and data warehouses.
  • Drive the roadmap by translating field challenges into product decisions.
  • Establish deployment standards and tooling to reduce technical debt.
  • Lead cross-functional initiatives and mentor engineers.
  • Identify and fix performance and latency bottlenecks in production.

Skills

Field leading complex projects
Data-driven problem solving
Change management
Programming experience (8+ years)
PhD leveraged experience (4+ years)
Architecture of large-scale systems
GenAI infrastructure on cloud (AWS/GCP
AI tooling integration
Regulated industry awareness
Technical mentorship

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Cloud platforms (AWS/GCP)

Job description

Meta is seeking a Staff Forward Deployed Engineer to bridge Meta's AI platforms with enterprise clients in Boston. You will architect and rollout large-scale AI systems, optimize performance, and ensure secure, compliant deployments.

You will elevate engineering practices, mentor teams, and shape product roadmaps with hands-on customer insights. You will lead cross-functional initiatives, design scalable integrations, and drive advanced AI testing and governance across major cloud environments.

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