Senior AI Security Architect

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.
• 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 p…