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

About This Role

This engineering role focuses on applying state-of-the-art AI and autonomous agents to Meta's products and support experiences, impacting billions of people. The work involves building agents that solve real problems for users, creators, and businesses, along with developing the platforms, evaluation systems, and model infrastructure to deploy these agents safely and at scale. It's a high-leverage position where research meets production, optimizing LLM and agentic systems, designing data and evaluation foundations, and taking frontier techniques from prototype to production.

Responsibilities

• Drive the team's goals and technical direction for AI Solutions, delivering measurable business impact for priority product verticals and increasing organizational efficiency 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 organization 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

Requirements

• 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience influencing and advising executive stakeholders across organizations
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Experience communicating and working across functions to drive solutions