Advance AI's positive global impact by ensuring responsible and effective implementation of AI initiatives. Join our Trust and Integrity Protection (TrIP) team to uphold Microsoft's reputation as a trusted company. This role is instrumental in aligning AI solutions with Responsible AI principles, regulatory mandates, and ethical standards.

Collaborate closely with the Office of Responsible AI and governance bodies. Your focus will be on identifying, assessing, and mitigating risks inherent in AI technologies, contributing to Microsoft's mission of empowering every person and organization.

Embrace a growth mindset, foster innovation, and work collaboratively to achieve shared goals. Uphold values of respect, integrity, and accountability to cultivate an inclusive culture where everyone can thrive.

Lead the Responsible AI risk assessment process for assigned AI projects. Analyze proposed AI solutions for ethical, privacy, and security risks, identifying sensitive use cases like facial recognition or biometric analysis. Determine when use cases require escalation to internal review boards such as the Deployment Safety Board. Ensure all necessary approvals are secured before development or deal sign-off, aligning with internal Responsible AI policies. Maintain comprehensive documentation of risk assessments, approvals, and mitigation strategies for audit readiness. Engage with product teams, legal, compliance, and engineering to integrate risk considerations early in the development lifecycle. Translate Responsible AI policies into actionable assessment criteria and workflows. Contribute to the ongoing enhancement of risk assessment frameworks and tools based on technological advancements and regulatory shifts.

A Bachelor's or Master's degree in Computer Science, Data Ethics, Law, Risk Management, or a related field is required. Possess at least 3 years of experience in risk assessment, compliance, or governance roles, ideally within AI or emerging technologies. Familiarity with established Responsible AI frameworks like NIST AI RMF, ISO/IEC 42001, or the EU AI Act is essential. Demonstrate strong analytical skills and meticulous attention to detail. Exhibit excellent communication and documentation capabilities. Proven experience working collaboratively with cross-functional teams in a matrixed environment.

Preferred qualifications include a Bachelor's Degree in Risk Management, Engineering, Government Intelligence, Security, or Information Technology, coupled with 5+ years of experience in Risk Management related to operations, engineering, IT, business analysis, consulting, auditing, privacy, security, compliance, government intelligence, and/or finance, or equivalent experience.

Experience with internal governance processes, such as AI review boards or safety panels, is advantageous. Knowledge of privacy-preserving technologies and bias mitigation techniques is beneficial. Background in regulated industries like healthcare, finance, or government is a plus. Certifications in AI ethics, compliance, or risk management are desirable.