Lead AI Security Architect 2026 - US

Are you an experienced security engineer / architect looking to apply your strategic mindset to help customers securely adopt enterprise AI tools, modernize security architectures and govern the risks introduced by generative AI platforms, AI assistants, coding copilots and LLM-enabled applications?

Aimpoint Digital is a fully remote, rapidly growing AI and Data Engineering consultancy; specializing in enabling tangible business outcomes and ROI for organizations around the globe. AI is fundamentally changes how the world works, and our philosophy toward AI security is a combination of mitigating risk without slowing innovation. What sets us apart is our track record of providing strategic advisory services alongside unmatched delivery expertise.

What you will do

In this position, you will be a crucial member in shaping the future of AI; specifically, by enabling designing scalable security architectures that enable organizations to innovate both quickly, and securely. You will design and implement security solutions enable customers to securely deploy, and govern, Claude Enterprise.

You will:

• Assess existing security, identity, data, cloud and SaaS architectures and advise on best-in-class solutions for securing enterprise AI tooling across customers in a wide range of industries
• Conduct comprehensive evaluations of AI tools (e.g. Claude, Claude Enterprise), platform configurations, data access patterns, connector usage, security controls, processes and personnel to deliver informed recommendations leveraging your expertise in security engineering and AI governance
• Design and implement security controls for enterprise AI platforms, including SSO, SCIM, RBAC, MFA, conditional access, admin roles, user lifecycle management, retention policies, audit logging, workspace controls, DLP, and acceptable-use enforcement
• Assess and govern AI platform features such as file uploads, custom assistants, projects, GPTs, connectors, browsing, code execution, data analysis, plugins, agents, API access, and external sharing
• Review and secure AI integrations with enterprise repositories and collaboration platforms, including Google Drive, SharePoint, OneDrive, Slack, Teams, GitHub, GitLab, Jira, Confluence, Salesforce, Snowflake, Databricks, and BI platforms
• Manage and lead end-to-end AI Security Implementation efforts as part of a project team; including activities such as identity integration, access control design, data protection controls, AI platform configurations, connector governance, monitoring / logging and incident response workflows

Who you are

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who is passionate about responsibly deploying AI solutions. You understand that AI Security isn’t a nice to have, it’s a pre-requ