AI Governance Specialist

Lisle, IL - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

AI Governance Specialist

Remote

Required :

8 years of experience in AI/ML engineering cloud architecture IT governance or a closely related field with at least 3 years focused specifically on AI governance compliance or risk management.
Deep understanding of enterprise cloud platforms (Azure AWS GCP) and on-premises AI infrastructure including GPU compute networking storage and security considerations.
Demonstrated expertise in AI regulatory frameworks and standards such as NIST AI RMF EU AI Act ISO/IEC 42001 SOC 2 and GDPR as they pertain to AI systems.
Proficiency in AI-specific threat modeling frameworks particularly MAESTRO for agentic AI threat analysis across its seven-layer reference architecture (foundation models data operations agent frameworks deployment infrastructure evaluation and observability security and compliance agent ecosystem) and LINDDUN for systematic privacy threat identification. Ability to extend and complement traditional threat modeling approaches (STRIDE PASTA) with these AI-focused methodologies.
Hands-on experience with AI/ML lifecycle management tools model registries and monitoring platforms.
Strong understanding of data governance principles including data classification lineage sovereignty and privacy-preserving techniques (federated learning differential privacy).
Proven ability to engage C-level executives translate complex technical concepts into business-aligned recommendations and drive consensus in enterprise settings.
Excellent written and verbal communication skills with experience producing governance documentation executive presentations and compliance reports.

Preferred Qualifications

Relevant certifications: CISA CRISC CGEIT AWS/Azure/GCP AI or Solutions Architect certifications or IAPP privacy certifications (CIPP CIPM).
Experience advising regulated industries such as financial services healthcare government or energy.
Familiarity with responsible AI toolkits (Microsoft Responsible AI Toolkit IBM AI Fairness 360 Google What-If Tool).
Background in developing or auditing AI systems for fairness explainability and accountability.
Familiarity with OWASP GenAI Security Project resources (including the Multi-Agentic System Threat Modeling Guide) and Cloud Security Alliance (CSA) AI security publications.

Education

Bachelors degree in Computer Science Information Security Data Science Engineering or a related field required.
Masters degree in a relevant discipline preferred.
Equivalent professional experience and certifications will be considered in lieu of formal education.

Required Skills:

AWS

AI Governance Specialist Remote Required : 8 years of experience in AI/ML engineering cloud architecture IT governance or a closely related field with at least 3 years focused specifically on AI governance compliance or risk management. Deep understanding of enterprise cloud platforms (Azure AWS GC...

AI Governance Specialist

Remote

Required :

8 years of experience in AI/ML engineering cloud architecture IT governance or a closely related field with at least 3 years focused specifically on AI governance compliance or risk management.
Deep understanding of enterprise cloud platforms (Azure AWS GCP) and on-premises AI infrastructure including GPU compute networking storage and security considerations.
Demonstrated expertise in AI regulatory frameworks and standards such as NIST AI RMF EU AI Act ISO/IEC 42001 SOC 2 and GDPR as they pertain to AI systems.
Proficiency in AI-specific threat modeling frameworks particularly MAESTRO for agentic AI threat analysis across its seven-layer reference architecture (foundation models data operations agent frameworks deployment infrastructure evaluation and observability security and compliance agent ecosystem) and LINDDUN for systematic privacy threat identification. Ability to extend and complement traditional threat modeling approaches (STRIDE PASTA) with these AI-focused methodologies.
Hands-on experience with AI/ML lifecycle management tools model registries and monitoring platforms.
Strong understanding of data governance principles including data classification lineage sovereignty and privacy-preserving techniques (federated learning differential privacy).
Proven ability to engage C-level executives translate complex technical concepts into business-aligned recommendations and drive consensus in enterprise settings.
Excellent written and verbal communication skills with experience producing governance documentation executive presentations and compliance reports.

Preferred Qualifications

Relevant certifications: CISA CRISC CGEIT AWS/Azure/GCP AI or Solutions Architect certifications or IAPP privacy certifications (CIPP CIPM).
Experience advising regulated industries such as financial services healthcare government or energy.
Familiarity with responsible AI toolkits (Microsoft Responsible AI Toolkit IBM AI Fairness 360 Google What-If Tool).
Background in developing or auditing AI systems for fairness explainability and accountability.
Familiarity with OWASP GenAI Security Project resources (including the Multi-Agentic System Threat Modeling Guide) and Cloud Security Alliance (CSA) AI security publications.

Education

Bachelors degree in Computer Science Information Security Data Science Engineering or a related field required.
Masters degree in a relevant discipline preferred.
Equivalent professional experience and certifications will be considered in lieu of formal education.

Required Skills:

AWS