Engineering Director, AI Solutions and Automation

Overview

We are seeking a highly accomplished Engineering Director with extensive technical knowledge to join the AI Solutions and Automation (ASA) Product Acceleration organization. This leader will drive the development and seamless integration of cutting-edge, high-performance, and cost-effective AI solutions—particularly those based on Large Language Models (LLMs) and Agentic AI frameworks—to expand AI applications and drive significant business impact across Meta.

You will function as a hands-on Tech Lead and organizational leader, responsible for setting the technical vision and executing on Meta's "super-linear AI automation strategy." This role requires a solid technical foundation in state-of-the-art (SoTA) ML/AI, a proven track record of structuring healthy, high-impact engineering organizations, and the ability to influence technical decision-making and drive execution across multiple disciplines. You will play a critical role in partnering with major product teams—including MRS, M10N, Instagram, Facebook, WhatsApp, Reality Labs, Global Operations, etc.—to transform innovative AI ideas into real-world impact at Meta’s massive scale.

Responsibilities

• Lead and manage teams of AI applied researchers and engineers, providing extensive technical guidance, mentorship, and support to ensure the successful end-to-end delivery of high-quality, scalable AI/ML systems.
• Serve as the technical authority, driving the design, development, and deployment of complex AI solutions, including LLM post-training techniques (like Reinforcement Learning and Fine-Tuning), Multi-modal Content Understanding, and Agentic AI platforms.
• Define and lead the long-term technical strategy and roadmap for large, enterprise-wide AI efforts, ensuring alignment with the ASA mission to deliver cost-efficient and performant AI models.
• Foster an environment of innovation, rapid prototyping, and technical excellence, encouraging experimentation and continuous improvement in the pursuit of SoTA performance.
• Identify new, high-leverage opportunities for LLM-based automation across Meta's product portfolio and influence cross-functional partners for appropriate staffing and prioritization.
• Supervise the development of AI-centric platforms, such as the AI Evaluation and scalable inference and serving infrastructure for 1P, 2P, and 3P models.

Minimum Qualifications

• 15+ years of experience growing and leading successful Engineering teams, with a proven ability to recruit, land, and grow both engineering technical managers and individual contributors.
• Extensive expertise (15+ years) in Machine Learning (ML), and Artificial Intelligence (AI), with a history of functioning as a technical leader or lead architect on production systems.
• Extensive experience building and deploying complex, large-scale, distributed AI/ML software systems from the ground up.
• Experience as a great collaborator, building models and processes for aligning work across large, multi-disciplinary teams (Engineering, Data Science, Product Management).
• Hands-on technical experience in relevant ML/AI languages (e.g., Python, C++) and applying data-driven methodologies to define and manage large software projects.
• Demonstrated ability to drive technical strategy and execution in cutting-edge AI domains like multi-modal processing, model evaluation, or RL-based post-training.

Preferred Qualifications

• Graduate degree preferred.
• Proven track record of designing and implementing Agentic AI frameworks.
• Experience working with large scale multi-stage reasoning systems in a high-QPS, production environment.

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 Affirmative 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 accommodations-ext@meta.com.

Key skills/competency

• AI Solutions Development
• Large Language Models (LLMs)
• Agentic AI Frameworks
• Machine Learning Engineering
• Technical Leadership
• Distributed AI Systems
• Strategy & Roadmap Definition
• Cross-functional Collaboration
• Team Management
• SoTA ML/AI Techniques