Governance, Risk and Compliance (GRC) AI Engineer

Join a global Contract Resource Organization (CRO) where innovation meets purpose. At Worldwide Clinical Trials, we're driven by a shared commitment to improving lives through high-quality clinical research. Our teams are empowered to think creatively, take ownership, and deliver meaningful work that helps bring life-changing therapies to patients around the world.  With more than 4,000 professionals across the globe, we foster a collaborative and inclusive environment where diverse perspectives are valued, growth is encouraged, and every contribution makes an impact. Whether you're building your career or bringing years of experience, you'll have the opportunity to learn, grow, and help shape the future of clinical research.  SUMMARY: The Governance, Risk and Compliance (GRC) AI Engineer is a hands-on technical member of the Governance, Risk, and Compliance team and reports to the Senior Director of GRC. The role is responsible for engineering, configuring, integrating, and operating the technology capabilities that support the Enterprise AI Governance Framework. Working across Microsoft Purview and other approved artificial intelligence, security, data governance, compliance, and reporting technologies, the engineer will translate governance requirements into practical technical controls, workflows, monitoring, evidence, and management reporting to support AI initiatives for Information Technology. This individual will be closely partnered with the enterprise AI team, Office of the CISO, and Information Technology.  The role may also work with business stakeholders to enable responsible AI adoption while protecting sensitive information and meeting security, privacy, regulatory, and customer expectations. Success requires strong technical depth, an engineering mindset, sound GRC judgment, and the ability to communicate implementation status, risks, dependencies, and decisions clearly to both technical and leadership audiences. RESPONSIBILITIES: Tasks may include but are not limited to: AI governance engineering: Translate the Enterprise AI Governance Framework, policies, standards, risk criteria, and approval requirements into technical configurations, automated workflows, control checks, monitoring, and evidence. Microsoft Purview administration: Configure and maintain applicable Microsoft Purview capabilities supporting AI and data governance, including data classification, sensitivity labels, data loss prevention, information protection, retention, audit, data cataloging, and compliance monitoring. AI technology enablement: Evaluate, configure, integrate, and support approved AI governance and security technologies needed to discover AI use, protect enterprise data, assess risk, enforce requirements, and monitor ongoing compliance.