Software Engineer, Agent Transformation Accelerator XFN (Technical Leadership)

About this role

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.

Minimum 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

Preferred Qualifications

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

$271,000/year to $347,000/year + bonus + equity + benefits