Software Engineer, Agent Transformation Accelerator XFN (Technical Leadership)

Meta is building the Agent Transformation Accelerator (ATA) for Cross-Functional Organizations (XFN) — one of the most ambitious applications of agentic AI at enterprise scale. ATA XFN's mission is to make every cross-functional discipline at Meta — Finance, Legal, People, Policy, Comms, Partnerships, Sales — 10x more effective by building AI agents that work autonomously under human supervision.

This is the first fully agentic XFN workforce at a major technology company. We are seeking a Software Engineer to serve as one of the top technical leaders for ATA XFN — defining the foundational agent architecture, shaping how Meta approaches AI-powered XFN transformation, and ensuring the platform can scale across all disciplines. You will operate at the intersection of technology and organizational strategy.

You will define the multi-year technical vision for how AI agents integrate into complex, regulated, human-centric workflows. You will influence company-wide decisions about agent architecture, eval methodology, and the feedback loops that make models better from use. You will navigate extreme ambiguity — building agents for domains (law, finance, policy) where accuracy, compliance, and trust are non-negotiable.

Responsibilities

• Define and own the multi-year technical vision and architecture for ATA XFN's agent platform spanning vertical pods, horizontals, and model/data infrastructure.
• Drive the most critical and ambiguous technical decisions, including those with company-wide implications for agent architecture, eval methodology, and XFN AI strategy.
• Serve as the primary technical thought leader for ATA XFN — representing the platform's direction to VPs, senior leadership, and across Meta's engineering community.
• Identify and create new categories of technical leverage — designing agent architectures, eval frameworks, and feedback systems that fundamentally change how Meta builds and deploys XFN agents.
• Architect the transition from "AI assists humans" to "AI works autonomously under human supervision" across regulated, high-stakes domains (Finance SOX compliance, Legal privilege, Policy regulatory sensitivity).
• Partner with MSL, AAI, Enterprise Engineering, and XFN client organizations to ensure ATA XFN agents are built on the best available models, harnesses, and infrastructure.
• Drive engineering excellence and operational rigor across the platform — setting the bar for agent quality, reliability, and safety.
• Attract and develop world-class engineering talent; serve as a role model for technical leadership across ATA XFN.

Qualifications

• 15+ years of software engineering experience, with an established track record as a top-level technical leader responsible for the direction of large-scale, high-impact platforms or systems
• Experience defining multi-year technical strategies that resulted in transformative impact at the organizational or company level
• Demonstrated ability to operate effectively with senior and executive leadership, translating technical vision into business outcomes
• Expertise spanning multiple technical domains (e.g., distributed systems, ML/AI, product generalist engineering) with the ability to make authoritative decisions across them
• Proficiency in one or more of: Python, C++, Java, Hack, or similar languages
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience as a principal-level (or equivalent) technical leader at a major technology company
• Deep expertise in AI/ML systems, LLMs, or developer/productivity platforms in production at scale
• Track record of creating entirely new platforms, capabilities, or technical categories that achieved broad adoption
• Published research, patents, or recognized industry contributions in AI, distributed systems, or platform engineering
• Experience partnering directly with research organizations to bring cutting-edge capabilities into production
• Recognized as an industry thought leader in AI, platform engineering, or developer productivity