Lead AI Security Architect 2026 - US
Aimpoint Digital1 month ago
Remote, United States or Atlanta, GA, USAStaff+
Responsibilities
- Assess clients’ existing security, identity, data, cloud, and SaaS architectures and recommend secure approaches for enterprise AI adoption.
- Evaluate AI tools, platform configurations, data access patterns, connectors, security controls, processes, and personnel.
- Design and implement AI security controls including SSO, SCIM, RBAC, MFA, conditional access, lifecycle management, retention, audit logging, DLP, and acceptable-use enforcement.
- Govern AI platform features such as file uploads, assistants, projects, connectors, browsing, code execution, agents, APIs, and external sharing.
- Secure integrations with enterprise repositories and collaboration platforms including Google Drive, SharePoint, OneDrive, Slack, Teams, GitHub, GitLab, Jira, Confluence, Salesforce, Snowflake, Databricks, and BI platforms.
- Lead end-to-end AI security implementation projects covering identity integration, access control, data protection, platform configuration, connector governance, monitoring, logging, and incident response.
- Own and manage client engagements, help develop the AI Security practice, contribute to business development, and propose innovative initiatives.
Requirements
- Bachelor’s degree in Computer Science, Cyber Security, Information Systems, Engineering, or equivalent experience.
- At least 5 years of experience in security engineering, cloud security, application security, data security, IAM, security architecture, or security operations.
- At least 5 years of experience with cloud or enterprise SaaS platforms or modern data platforms such as Databricks, Snowflake, Fabric, or BigQuery.
- Experience designing and delivering enterprise security architectures across cloud, SaaS, data, applications, or security operations.
- Experience securing SaaS platforms with SSO, SCIM, RBAC, MFA, conditional access, logging, DLP, lifecycle management, and administrative controls.
- Experience with identity providers and collaboration platforms such as Okta, Microsoft Entra, Google Workspace, Microsoft 365, Slack, Atlassian, GitHub, or GitLab.
- Experience with AWS, Azure, and/or GCP.
- Experience with secure SDLC, application security testing, API security, secrets management, vulnerability management, and software supply chain security.
- Experience with threat modeling and translating risk into practical technical and operational controls.
- Experience integrating security telemetry into SIEM/SOAR platforms such as Splunk, Sentinel, or Datadog.
- Experience with generative AI platforms, specifically Claude Enterprise.
- Familiarity with LLM security risks including prompt injection, sensitive information disclosure, insecure output handling, excessive agency, retrieval abuse, and software supply chain risk.
- Strong written and verbal communication skills, including communication with C-suite and executive stakeholders.
- Preferred experience with Python, APIs, Terraform, CI/CD pipelines, GitHub Actions, GitLab CI, container technologies, and infrastructure-as-code security.
- Preferred experience conducting AI red teaming, adversarial testing, abuse-case analysis, or model-integrated application security reviews.
- Advanced cloud certification and security certifications such as CISSP, CCSP, CISM, GIAC, AWS Security Specialty, Azure Security Engineer, or Google Professional Cloud Security Engineer are desirable.
- Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, ISO 42001, SOC 2, HIPAA, PCI DSS, or GDPR is desirable.
Benefits
- Fully remote position.
- Atlanta-based applicants may work from the company headquarters in Sandy Springs, Georgia.
Tech Stack
AWSAzureDatabricksDatadogGitHub ActionsGitLab CI/CDGoogle BigQueryGoogle Cloud PlatformPythonSnowflakeSplunkTerraform
Categories
Solutions Engineering