As a Lead AI Risk Engineer, you will provide technical leadership for how College Board identifies, reviews, and manages risk across its technology systems. College Board’s technology footprint spans cloud infrastructure, vendor and API integrations, identity and access for automated systems, and an expanding set of AI and agentic capabilities — and the organization needs a consistent, repeatable practice for assessing risk across all of it, not AI alone. This role exists to build and lead that practice.
You will work within an existing security engineering team and across the Technology division to run risk reviews of new and existing systems, define controls and identity practices for automated and machine-driven access (including AI agents and non-human identities where relevant), and partner with stakeholders across the organization to bring security into decisions early. You will not only execute this work — you will shape the standards, patterns, and practices that let others execute it consistently, and you will lift the engineers around you through mentoring, paired reviews, and shared knowledge rather than becoming a single point of expertise.
This is a role for a technical leader comfortable operating across team and service boundaries, spanning risk domains where standards are still maturing — from cloud and vendor risk to identity and access for automated systems to emerging technologies such as agentic AI. You will contribute to the strategic direction of the risk engineering program — identifying risks and opportunities that influence roadmap decisions — while remaining hands-on in reviews, threat modeling, and control design. Your impact will be measured in durable outcomes: reviews that are repeatable and evidenced, risk that is owned and documented rather than assumed, and stakeholders across the organization who engage security early because the engagement is practical and predictable.