Lead AI Security Architect

Aimpoint Digital

Lead AI Security Architect at Aimpoint Digital designing secure AI security architectures for enterprise implementations. Transforming risk management in generative AI across various industries.

Posted 6/10/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudCyber SecurityGoogle Cloud PlatformPythonSDLCSplunkTerraform

About the role

Key responsibilities & impact

Design and implement security solutions to enable customers to securely deploy and govern Claude Enterprise
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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Fully remote
Opportunity to work in headquarters in Sandy Springs, GA

ATS Keywords

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Hard Skills & Tools

security engineeringAI governanceenterprise security architecturessecure SDLCapplication security testingAPI securityvulnerability managementthreat modellingdata protection controlsidentity integration

Soft Skills

written communicationverbal communicationC-Suite communicationleadershipproject managementcollaborationanalytical thinkingproblem-solvingadvisory skillsrecommendation delivery

Certifications

CISSPCCSPCISMGIACAWS Security SpecialtyAzure Security EngineerGoogle Professional Cloud Security Engineeradvanced cloud certification