Forward Deployed Engineer, Enterprise AI

Meta; Boston (MA); On-site; USD 184,000 - 257,000; Full time

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

We help global enterprise partners integrate Meta's foundation models and AI tools directly into their core products and infrastructure. We are hiring an experienced Staff Forward Deployed Engineer to act as the primary technical bridge between Meta's internal engineering teams and our enterprise clients. You will lead the architecture and rollout of large-scale AI systems, working side‑by‑side with engineering leaders at other companies to adapt our AI platform to their specific environments and constraints. Crucially, you'll take the friction you encounter in the field—like optimizing inference speeds, resolving interoperability issues, and connecting complex external data sources—and turn it into concrete technical proposals. Your hands‑on experience will directly inform and shape the roadmap for Meta's core AI tools and ecosystem.

Forward Deployed Engineer, Enterprise AI 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.

Minimum 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

Preferred Qualifications:

• Experience architecting and deploying large‑scale software systems, including taking complex AI applications from early prototypes to enterprise‑ready production
• Experience architecting and scaling GenAI infrastructure across major cloud platforms (e.g., AWS, GCP), leveraging advanced cloud services (compute, distributed storage, ML frameworks) to optimize model performance, manage compute costs, and ensure enterprise‑grade reliability
• Experience designing and implementing advanced AI testing systems (e.g., automated evaluation loops to proactively catch hallucinations, reasoning gaps, or safety issues in live products)
• Experience in regulated industries (financial services, insurance, healthcare) or navigating enterprise compliance requirements (SOC2, data residency, privacy frameworks)
• Demonstrated ability to lead technical engagements with external engineering teams (e.g., Forward Deployed Engineering, Solutions Architecture) and translate complex business constraints into robust system designs
• Demonstrated ability to act as a technical bridge between field deployments and internal engineering, using hands‑on customer insights to directly shape core product and platform roadmaps
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affimation Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$183,997/year to $257,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.