This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Security Architect based in the United States.
This role sits at the intersection of cybersecurity, artificial intelligence, and enterprise governance, focusing on building the foundational security architecture for AI systems at scale. You will define guardrails, policies, and technical controls that enable safe and responsible use of generative AI and machine learning across the organization. The position plays a critical role in shaping how AI is deployed securely, ensuring protection of sensitive data while enabling innovation. You will collaborate closely with AI engineering, compliance, and legal teams to translate business objectives into secure AI design principles. This is a high-impact opportunity to influence enterprise-wide AI strategy from the ground up in a rapidly evolving environment. You will also act as a key advisor on emerging AI threats, risks, and security best practices.
Accountabilities:
- Design and implement enterprise AI security architecture, including governance frameworks, policies, and technical controls
- Establish AI usage guidelines and security guardrails for employees and development teams
- Conduct AI-specific threat modeling, risk assessments, and vulnerability analysis (e.g., prompt injection, data poisoning, model inversion)
- Define data classification and protection standards for AI training data, APIs, and model outputs
- Partner with AI engineering teams to embed security into ML pipelines, model development, and deployment workflows
- Evaluate and recommend AI security tools such as DLP for AI, model monitoring systems, and AI gateways
- Collaborate with legal, compliance, and risk teams to ensure adherence to regulatory requirements (GDPR, CCPA, industry regulations)
- Develop AI-focused incident response procedures for model compromise, data leakage, and misuse of AI tools
- Build security awareness programs and training materials for safe AI adoption across the organization
- Monitor emerging AI threats and define metrics to report AI security posture to executive leadership
Requirements:
- 8+ years of experience in information security, with at least 3+ years in security architecture roles
- Proven experience designing security controls for AI/ML systems, LLMs, or generative AI platforms
- Strong understanding of AI security risks including prompt injection, adversarial attacks, data poisoning, and model privacy risks
- Deep knowledge of enterprise security frameworks such as NIST, ISO 27001, SOC 2, and data privacy regulations (GDPR, CCPA)
- Experience with cloud security environments (AWS, Azure, or GCP) supporting AI/ML workloads
- Familiarity with AI platforms such as OpenAI API, Azure AI, AWS SageMaker, or Google Vertex AI
- Strong communication skills with ability to translate complex security concepts for technical and executive audiences
- Experience working in regulated industries such as financial services or insurance is a plus
- Relevant certifications such as CISSP, CCSP, or CISM preferred
- Background in machine learning, data science, or AI ethics is highly valued
Benefits:
- Competitive contract compensation
- Flexible remote-first work arrangement across the United States
- Opportunity to shape enterprise AI security strategy from the ground up
- Exposure to cutting-edge AI/ML and generative AI technologies
- Professional growth in a high-demand and emerging security domain
- Collaborative and innovation-driven work environment
- Engagement with cross-functional teams across engineering, legal, and compliance
- Opportunity to work on high-impact, large-scale AI transformation initiatives