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Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration
MetaUnited Statesfull_timeVerifiedPosted 14 Feb 2026
About the role
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.
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 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
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.
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 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
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