Education: Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, or a related technical discipline.
Cybersecurity Experience: At least 8 years of professional experience in cybersecurity, security architecture, enterprise architecture, or a related technology field.
AI and Emerging Technology Security: Demonstrated experience securing AI, Generative AI, machine learning, cloud environments, or advanced analytics platforms.
Knowledge of AI Security Risks: Strong understanding of AI-specific threats, including prompt injection, sensitive data exposure, model poisoning, adversarial attacks, insecure integrations, and unaut
AI Platform Expertise: Hands-on experience with AI technologies such as Microsoft Copilot, Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI, or comparable enterprise AI platforms.
Security Architecture and Risk Assessment: Proven ability to conduct threat modeling, perform security architecture reviews, evaluate enterprise technology risks, and recommend practical mitigation st
Core Security Fundamentals: Strong knowledge of identity and access management, cloud security, data protection, encryption, API security, and AI governance principles.
Governance and Compliance: Familiarity with establishing security standards, implementing technical controls, and aligning AI solutions with enterprise security policies and relevant regulatory requir
Microsoft Security Technologies: Experience with Microsoft Purview, Microsoft Defender, Microsoft Entra ID, and Azure security services is an advantage.
Full description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Security Architect based in the United States.
We are seeking an experienced AI security professional to shape and lead the secure adoption of artificial intelligence technologies across a global healthcare organization. In this role, you will define security architectures, governance frameworks, and technical safeguards for Generative AI, large language models (LLMs), AI agents, and machine learning platforms. You will work at the intersection of cybersecurity, enterprise architecture, cloud infrastructure, data protection, and responsible AI innovation. Collaborating with multidisciplinary teams, you will assess emerging technologies, identify security vulnerabilities, and establish controls that protect sensitive data and critical systems. Your expertise will help balance rapid AI innovation with regulatory compliance, enterprise risk management, and robust security standards. As an early contributor to the organization's AI security strategy, you will have significant visibility and the opportunity to influence technology decisions across multiple business functions. This remote leadership opportunity offers the chance to advance secure AI adoption while helping shape the future of cybersecurity in the healthcare sector.
Accountabilities
AI Security Architecture: Lead security reviews and assessments for artificial intelligence, Generative AI, machine learning, and AI agent solutions across the enterprise, ensuring that security requirements are integrated throughout the technology lifecycle.
Security Standards and Best Practices: Define and implement AI security architectures, technical standards, and best practices that enable scalable, secure, and responsible AI adoption.
Technology and Vendor Risk Assessment: Evaluate AI platforms, third-party vendors, emerging technologies, and proposed business use cases to identify security risks and recommend appropriate safeguards.
Threat Modeling and Risk Management: Conduct threat modeling, architecture reviews, and enterprise risk assessments for AI applications and platforms, identifying vulnerabilities and developing mitigation strategies.
AI-Specific Security Controls: Establish security guardrails for large language models, AI copilots, retrieval-augmented generation (RAG) solutions, autonomous AI agents, and related technologies. Address risks such as prompt injection, data leakage, model poisoning, adversarial attacks, and unauthorized model access.
AI Governance and Compliance: Support enterprise AI governance initiatives by defining security requirements, approval processes, monitoring mechanisms, and risk management practices aligned with organizational policies and applicable regulatory expectations.
Senior AI Security Architect at Jobgether (Remote) — aijobsearch
AI and Cybersecurity Frameworks: Familiarity with established frameworks and standards, such as the NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework, ISO/IEC 42001, and ISO/IEC
Regulated Industry Experience: Experience working in healthcare, medical devices, manufacturing, automotive, or another highly regulated industry is desirable, particularly where data privacy, product
Professional Certifications: Relevant credentials, such as CISSP, CCSP, Azure Security Engineer, Azure Solutions Architect, or equivalent certifications, are beneficial.
Communication and Stakeholder Management: Excellent verbal and written communication skills, with the ability to explain technical risks to non-technical audiences, present recommendations to executiv
Strategic Thinking and Leadership: Strong analytical judgment, problem-solving skills, and the ability to balance security requirements with business objectives and emerging technology opportunities.
U.S. Work Authorization: Must be legally authorized to work for any employer in the United States. Employment visa sponsorship or transfer of sponsorship is not available for this position.
Remote Work and Travel: Ability to work remotely from the United States and travel quarterly to the organization's headquarters in Deerfield, Illinois.
Cross-Functional Collaboration: Partner with Cybersecurity, Enterprise Architecture, Data & Analytics, Infrastructure, Research & Development, Privacy, Legal, and Quality teams to ensure AI solutions meet security, privacy, and compliance requirements.
Cloud and Data Protection: Apply security principles covering identity and access management, encryption, API security, cloud infrastructure, sensitive data protection, and secure integration across AI platforms.
Technical Advisory and Mentorship: Serve as a trusted security advisor to architects, engineers, developers, and business stakeholders, communicating complex security concepts clearly and promoting AI security awareness across the organization.
Strategic Security Leadership: Influence enterprise AI security strategy, guide technology adoption decisions, and contribute to the development of a sustainable security framework as AI capabilities expand across products, operations, and corporate functions.
Requirements
Education: Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Engineering, or a related technical discipline.
Cybersecurity Experience: At least 8 years of professional experience in cybersecurity, security architecture, enterprise architecture, or a related technology field.
AI and Emerging Technology Security: Demonstrated experience securing AI, Generative AI, machine learning, cloud environments, or advanced analytics platforms.
Knowledge of AI Security Risks: Strong understanding of AI-specific threats, including prompt injection, sensitive data exposure, model poisoning, adversarial attacks, insecure integrations, and unauthorized access to models or AI services.
AI Platform Expertise: Hands-on experience with AI technologies such as Microsoft Copilot, Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI, or comparable enterprise AI platforms.
Security Architecture and Risk Assessment: Proven ability to conduct threat modeling, perform security architecture reviews, evaluate enterprise technology risks, and recommend practical mitigation strategies.
Core Security Fundamentals: Strong knowledge of identity and access management, cloud security, data protection, encryption, API security, and AI governance principles.
Governance and Compliance: Familiarity with establishing security standards, implementing technical controls, and aligning AI solutions with enterprise security policies and relevant regulatory requirements.
Microsoft Security Technologies: Experience with Microsoft Purview, Microsoft Defender, Microsoft Entra ID, and Azure security services is an advantage.
AI and Cybersecurity Frameworks: Familiarity with established frameworks and standards, such as the NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework, ISO/IEC 42001, and ISO/IEC 27001, is preferred.
Regulated Industry Experience: Experience working in healthcare, medical devices, manufacturing, automotive, or another highly regulated industry is desirable, particularly where data privacy, product safety, and compliance are critical.
Professional Certifications: Relevant credentials, such as CISSP, CCSP, Azure Security Engineer, Azure Solutions Architect, or equivalent certifications, are beneficial.
Communication and Stakeholder Management: Excellent verbal and written communication skills, with the ability to explain technical risks to non-technical audiences, present recommendations to executives, and influence decisions across a complex global organization.
Strategic Thinking and Leadership: Strong analytical judgment, problem-solving skills, and the ability to balance security requirements with business objectives and emerging technology opportunities.
U.S. Work Authorization: Must be legally authorized to work for any employer in the United States. Employment visa sponsorship or transfer of sponsorship is not available for this position.
Remote Work and Travel: Ability to work remotely from the United States and travel quarterly to the organization's headquarters in Deerfield, Illinois.
Benefits
Competitive Base Salary: Estimated annual salary range of $152,000–$209,000, depending on location, skills, experience, and other relevant factors.
Performance-Based Compensation: Eligibility for discretionary bonus opportunities.
Remote Work Flexibility: U.S.-based remote working arrangement with quarterly travel for in-person collaboration.
Medical and Dental Coverage: Health and dental benefits available from the first day of employment for eligible employees.
Insurance Protection: Basic life insurance, accident insurance, short-term and long-term disability coverage, and business travel accident insurance.
Retirement Savings: Access to a 401(k) Retirement Savings Plan with employee contribution options and company matching.
Employee Stock Purchase Plan: Opportunity to purchase company stock at a discounted rate through the employee stock purchase program.
Flexible Spending Accounts: Access to accounts that help manage eligible healthcare and dependent care expenses.
Paid Time Off: Between 20 and 35 days of paid time off, depending on length of service, in addition to paid holidays.
Family and Medical Leave: Access to family and medical leaves of absence and paid parental leave.
Professional Development: Educational assistance programs to support continued learning and career growth.
Additional Employee Perks: Commuting benefits, an employee discount program, an Employee Assistance Program (EAP), and childcare benefits.
Career Growth and Impact: Opportunity to shape enterprise-wide AI security strategy, influence emerging technology adoption, and develop toward broader cybersecurity leadership responsibilities.
Purpose-Driven Work: The opportunity to help protect sensitive information, strengthen technology resilience, and enable responsible AI innovation in a healthcare environment where security supports critical services.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.