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ALOIS Solutions · 1 day ago

AI Governance & Security Architect

United States

Contract

Remote

Senior Level

7+ years exp

ALOIS Solutions is a leader in entertainment innovation seeking a visionary AI Governance & Security Architect to shape the future of secure and responsible AI adoption. The role involves designing and leading enterprise frameworks to ensure ethical and compliant AI practices while integrating cybersecurity and risk management to protect sensitive data.

ConsultingHuman ResourcesStaffing Agency

Hiring Manager

Jaikumar J.

Responsibilities

Collaborate and Influence: Build strong partnerships across business units to ensure security is embedded from design through implementation in products and services

Be the Expert: Act as a trusted advisor and subject matter expert across security domains, guiding stakeholders on best practices

Shape Governance: Define and implement enterprise-wide AI governance frameworks that promote ethical, secure, and compliant AI use

Set Standards: Develop and enforce AI security standards aligned with regulatory and industry benchmarks (ISO 42001, NIST AI RMF, SANS, CSA, OWASP)

Secure Deployments: Oversee AI/ML solution deployment in on-premises and cloud environments (AWS, Azure, GCP) with robust data protection and encryption

Assess and Test: Conduct AI security risk assessments, threat modeling, and red team exercises for generative and predictive models

Respond and Remediate: Support AI security incident response and ensure effective remediation processes

Educate and Mentor: Provide guidance on AI governance, compliance, privacy, and ethical AI adoption; mentor team members on best practices

Qualification

AI Governance FrameworksRisk ManagementCloud-native AI/ML PlatformsCybersecurityCompliance ProgramsAI/ML Lifecycle ManagementCommunication SkillsLeadership SkillsInterpersonal SkillsProblem-solving

Required

A collaborative mindset and a passion for learning

Bachelor's degree in Computer Science, Cybersecurity, Data Science, or related field, plus 7+ years of experience in enterprise architecture, information security, or technology governance (or equivalent experience)

Proven success implementing governance frameworks, risk strategies, and compliance programs for emerging technologies

Deep understanding of AI/ML lifecycle management, from development to monitoring

Experience working with auditors, regulators, and compliance teams

Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, GCP Vertex)

Familiarity with security frameworks (NIST, ISO 27001, ISO 42001, CIS Controls)

Strong communication skills and ability to engage with stakeholders at all levels

Ability to work independently in a fast-paced environment while fostering collaboration and creative problem-solving

Leadership skills to mentor and guide team members effectively