AI Security Architect
New
Based in the United StatesContractSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years of experience in information security, with at least 3+ years in security architecture roles
- Required Skills
- AWSGCPMachine LearningAzureGenerative AI
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
Responsibilities
- 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
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