Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
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.
Strong communication and stakeholder engagement skills.
Preferred
Certifications in Responsible AI, AI Ethics, or Cloud AI platforms.
Experience in regulated industries (e.g., healthcare, finance, government).
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.