What you'll do:
The AI Governance Engineer will be responsible to develop and implement AI governance frameworks, conducting risk assessments, and collaborating with various departments to align AI practices with organizational goals. They will also be responsible for ensuring the ethical and compliant use of AI technologies within the organization. The engineer will collaborate closely with citizen developers to guide and oversee the development of AI-based solutions, ensuring compliance with regulatory and ethical standards, and keeping the organization at the forefront of AI innovation.
Key Responsibilities:
• Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices.
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• Conduct risk assessments and identify potential ethical, legal, and reputational risks associated with AI use.
• Map and analyze data flows across systems and platforms to ensure compliance with regulations and best practices.
• Design and execute audits to evaluate system security, data protection practices, and regulatory compliance.
• Collaborate with cross-functional teams to align data governance practices with organizational goals and compliance standards.
• Stay updated on emerging threats, regulations, and technologies to ensure proactive risk management and continuous improvement.
• Provide guidance and oversight to citizen developers, ensuring their AI solutions adhere to governance frameworks and regulatory requirements.
• Develop and maintain guidelines for the usage of AI tools, including best practices for token management, licensing, and compliance.
• Ensure that all AI tools and solutions are properly licensed and that usage complies with the terms and conditions of the licenses (subscription management).
• Monitor and manage the allocation and usage of tokens for AI tools, ensuring efficient and compliant usage.
• Manage FinOps - Token consumption and optimize AI resource allocation.
Qualifications:
• Master's in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field (advanced degree or certifications such as CISSP, CIPP, or CISA preferred).
• 5+ years of experience in data governance, compliance, cybersecurity, or a related technical field, with overall 10 years of working in IT and AI related field.
Skills:
• Good to have hands-on experience with Microsoft AI products, including Copilot Studio, AI Builder, and AI agents.
• Ensure the accuracy, scalability, and security of AI solutions.
• Hands-on experience with risk assessment methodologies and tools.
• Familiarity with data-related regulations (e.g., GDPR, CCPA. EU AI Act etc.) and their practical implementation.
• Expertise in cybersecurity tools and methodologies for red team operations and risk analysis.
• Proficiency in data engineering, system architecture, and data flow mapping.
• Analytical skills to assess vulnerabilities, synthesize insights, and propose actionable solutions.
• Technical writing skills for creating comprehensive documentation and reports.
• Understanding of AI governance and its compliance frameworks.
Preferred Qualifications:
• Strong communication skills to effectively collaborate with cross-functional teams and stakeholders.
• Ability to stay updated on the latest AI regulations and compliance requirements.
• Microsoft Certified: Azure AI Fundamentals & Associate.
• Relevant certifications in AI governance and data protection.