Microsoft is looking to advance the positive impact of AI on a global scale by ensuring that AI initiatives are implemented responsibly and effectively, maintaining its position as one of the most trusted companies in the world.
Requirements
- Experience in AI/ML solution architecture, with a focus on ethical or responsible AI.
- Deep understanding of AI/ML technologies, cloud platforms (Azure, AWS, GCP), and MLOps.
- Familiarity with Responsible AI frameworks (e.g., NIST AI RMF, OECD AI Principles, ISO/IEC 42001).
- Experience with bias detection, model interpretability, and privacy-preserving techniques.
- Certifications in Responsible AI, AI Ethics, or Cloud AI platforms.
- Knowledge of global AI regulations (e.g., EU AI Act, Canada’s AIDA, U.S. Executive Orders)
Responsibilities
- Architect Ethical AI Solutions: Design frameworks that support scalable AI systems that prioritize fairness, transparency, privacy, and safety.
- Stakeholder Collaboration: Work closely with data scientists, engineers, legal, compliance, and business teams to ensure AI solutions meet ethical and regulatory standards.
- Governance & Compliance: Embed Responsible AI governance frameworks into solution design, including bias mitigation, explainability, and human oversight.
- Documentation & Communication: Maintain clear documentation of architectural decisions and communicate complex AI concepts to non-technical stakeholders.
- Continuous Improvement: Stay current with evolving Responsible AI standards, regulations, and technologies, and integrate them into architectural practices.
Other
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
- Strong communication and stakeholder engagement skills.
- Ability to work remotely, up to 100% of the time.
- Commitment to ethical AI and Microsoft values of respect, integrity, and accountability
- Ability to build customer confidence and champion Responsible AI principles
