Lead AI Security Architect 2026 - US

Baseline skills requirements include, though are not limited to

• Degree in Computer Science, Cyber Security, Information Systems, Engineering, or equivalent experience
• Strong written and verbal skills; specifically with respect to C-Suite / Executive communication
• Experience designing and delivering enterprise security architectures (projects or otherwise), particularly across Cloud, SaaS, data, application or security operations
• Experience securing SaaS platforms using SSO, SCIM, RBAC, MFA, conditional access, logging DLP, lifecycle management and administrative controls
• Experience working with identity providers and collaboration platforms like Okta, Microsoft Entra, Google Workspace, Microsoft 365, Slack, Atlassian, GitHub and/or GitLab
• Experience working with Cloud Platforms such as AWS, Azure and/or GCP
• Experience with secure SDLC, application security testing, API security, secrets management, vulnerability management and software supply chain (this is a must-have)
• Experience performing threat modelling and translating risk into practical technical and operational controls
• Experience integrating security telemetry into SIEM/SOAR platforms such as Splunk, Sentinel, Datadog or similar technologies
• 5+ years experience in security engineering, cloud security, application security, data security, IAM, security architecture or security operations
• 5+ years experience working with cloud / enterprise SaaS platforms or modern data platforms (specifically Databricks / Snowflake / Fabric / Big Query)
• Experience with generative AI platforms; Claude Enterprise specifically
• Familiarity with LLM security risks such as prompt injection, sensitive information disclosure, insecure output handling, excessive agency, retrieval abuse and software supply chain risk
• Familiarity with AI security and governance frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, ISO 42001, SOC 2, HIPAA, PCI DSS, GDPR, or similar frameworks is desirable
• Experience with Python, APIs, Terraform, CI/CD pipelines, GitHub Actions, GitLab CI, container technologies, or infrastructure-as-code security is desirable
• Experience conducting AI red teaming, adversarial testing, abuse-case analysis, or model-integrated application security reviews is desirable
• Advanced certification in one or more cloud platforms, such as AWS, Azure, or GCP, is desirable
• Security certifications such as CISSP, CCSP, CISM, GIAC, AWS Security Specialty, Azure Security Engineer, Google Professional Cloud Security Engineer, or similar credentials are desirable
• This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.