Responsibilities
- Evaluate current security, identity, data, cloud, and SaaS environments to guide clients across industries in adopting top-tier security practices for enterprise AI platforms
- Perform in-depth assessments of AI tools like Claude and Claude Enterprise, analyzing configurations, access patterns, connectors, security measures, and team processes to provide expert recommendations grounded in AI governance and security engineering
- Develop and deploy security mechanisms for enterprise AI systems, including single sign-on, identity provisioning, role-based access, multi-factor authentication, conditional access policies, administrative role structures, user lifecycle management, data retention rules, audit logging, workspace governance, data loss prevention, and policy enforcement
- Evaluate and oversee AI platform capabilities such as file submissions, custom AI assistants, projects, GPTs, integrations, web browsing, code execution, data analysis, plugins, autonomous agents, API access, and external sharing features
- Examine and strengthen AI integrations with enterprise systems including Google Drive, SharePoint, OneDrive, Slack, Teams, GitHub, GitLab, Jira, Confluence, Salesforce, Snowflake, Databricks, and business intelligence tools
- Lead full-cycle AI security deployments within project teams, covering identity synchronization, access strategy, data protection, platform configuration, integration governance, monitoring setups, logging infrastructure, and incident response planning
Work Arrangement
Remote (Worldwide) — remote, Sandy Springs, GA
Other
- This position is fully-remote
- Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA
