Responsible AI Solution Risk Assessor

Finance, Banking & Legal · Banking & Investments · Risk Management

In short

Microsoft is seeking a Responsible AI Solution Risk Assessor to evaluate AI use cases and ensure responsible implementation aligned with ethical standards and regulatory requirements. This role involves assessing risks, managing escalations, and collaborating with cross-functional teams to integrate AI policies into development lifecycles.

Responsibilities

Lead the Responsible AI risk assessment process for AI projects.
Analyze proposed AI solutions for ethical, privacy, and security risks.
Determine when use cases require escalation to internal review boards.
Ensure all necessary approvals are obtained before development or deal sign-off.
Maintain thorough documentation of risk assessments, approvals, and mitigation strategies.
Collaborate with product teams, legal, compliance, and engineering.
Translate Responsible AI policies into actionable assessment criteria and workflows.
Contribute to the evolution of risk assessment frameworks and tools.

Requirements

Bachelor's or master’s degree in Computer Science, Data Ethics, Law, Risk Management, or a related field.
3+ years of experience in risk assessment, compliance, or governance roles, preferably in AI or emerging technologies.
Familiarity with Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
Strong analytical skills and attention to detail.
Excellent communication and documentation abilities.
Experience working with cross-functional teams in a matrixed organization.

Desired Qualifications

Bachelor's Degree in Risk Management, Engineering, Government Intelligence, Security, or Information Technology, or related field AND 5+ years experience in Risk Management in the context of Operations, Engineering, Information Technology, Business Analyst, 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.
Knowledge of privacy-preserving technologies and bias mitigation techniques.
Background in regulated industries (e.g., healthcare, finance, government).
Certifications in AI ethics, compliance, or risk management.

Skills

NIST AI RMFISO/IEC 42001EU AI Act

#AI#Risk Management#Compliance#Governance#Ethics#Data Privacy#Security

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