Senior AI Systems Architect & Platform Leader

Meta; New York (NY); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta seeks a distinguished Software Engineer with deep AI specialization to drive transformative initiatives across Meta's AI-powered products and platforms. You will lead the architectural direction of large-scale AI systems serving billions of users, defining standards and roadmaps across multiple teams and partners.

The role combines cutting-edge AI research with production-scale engineering, mentoring engineers, and shaping a culture of rigor and responsible AI development.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• 12+ years of software engineering experience with a focus on AI, machine learning systems, or applied deep learning in production.
• Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale.
• Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals.
• Experience communicating complex AI system designs and technical trade-offs to both technical and non-technical audiences, including engineering leadership.

Responsibilities

• Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale.
• Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability.
• Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science.
• Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy.
• Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures.
• Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput.
• Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics.
• Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness.
• Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain.
• Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact.

Skills

AI systems experience

Cross-team leadership

Production ML pipelines

Architecting scale AI

Education

Bachelor's degree

Job description

Meta seeks a distinguished Software Engineer with deep AI specialization to drive transformative initiatives across Meta's AI-powered products and platforms. You will lead the architectural direction of large-scale AI systems serving billions of users, defining standards and roadmaps across multiple teams and partners.

The role combines cutting-edge AI research with production-scale engineering, mentoring engineers, and shaping a culture of rigor and responsible AI development.