Software Engineer (Technical Leadership) - AI Solutions and Automation + Support

Meta is seeking experienced engineers to join AI Solutions and Automation + Support (ASA+S), where we apply state-of-the-art AI and autonomous agents to the products and support experiences used by billions of people. We build agents that resolve real problems for users, creators, and businesses, along with the platforms, evaluation systems, and model infrastructure that let those agents ship safely and at scale. This is applied AI where research meets production: you'll build and optimize LLM and agentic systems, design the data and evaluation foundations that make them trustworthy, and take frontier techniques from prototype to production.

It's deliberately high-leverage work; what we prove once becomes a platform that other teams build on. In this role, you will work on emerging agent problems and ship solutions that reach real users.

Define and drive the team's goals and technical direction for AI Solutions, delivering measurable business impact for priority product verticals and making the larger organization more efficient through LLM-based automation Effectively communicate complex AI systems (LLM post-training, multi-modal content understanding, agent harnesses and agentic platforms) and their impact to engineers, partners, and leadership Track industry and company-wide AI trends to assess and develop new techniques, fostering innovation, rapid prototyping, and technical rigor in pursuit of state-of-the-art performance Partner with organizations and cross-functional leaders, and mentor applied researchers and engineers, to raise the performance of the team and organization, and ensure end-to-end delivery of high-quality, scalable AI/ML systems Lead as an AI-native engineer: use AI agents and tools daily in how you design, build, and ship, and grow those ways of working across the team Identify high-leverage opportunities for LLM-based automation across Meta's product portfolio and influence cross-functional partners on staffing and prioritization Lead the long-term technical vision and roadmap for large, cross-company AI efforts, aligned with the team's mission to deliver cost-efficient, performant AI models Collect and synthesize requirements from partner teams into an effective roadmap for AI solutions: product enablement for rapid integration, agentic solutions that move from rigid workflows to autonomous problem-solving, and AI quality scaling for specific, complex problems Identify and resolve performance, cost, and scalability issues in AI systems, and drive large efforts to reduce technical debt