Lead AI Security Architect

aimpoint-digital

New Remote

Remote Senior 🇬🇧 English

Python APIs Terraform CI/CD pipelines GitHub Actions GitLab CI container technologies AWS Azure GCP Okta Microsoft Entra Google Workspace Microsoft 365 Slack Atlassian GitHub GitLab Databricks Snowflake Fabric Claude Enterprise SSO SCIM RBAC MFA conditional access DLP IAM SIEM Splunk Sentinel Datadog threat modelling secure SDLC application security testing API security secrets management vulnerability management

Job description

About the role

Lead the design and implementation of secure AI architectures for enterprise customers, focusing on generative AI platforms such as Claude Enterprise. Work remotely with a fast‑growing consultancy that blends strategic advisory with delivery expertise.

Key responsibilities

Assess existing security, identity, data, cloud and SaaS architectures and recommend best‑in‑class solutions for enterprise AI tooling.
Design and implement security controls for AI platforms, including SSO, SCIM, RBAC, MFA, conditional access, audit logging, DLP and acceptable‑use policies.
Evaluate AI tool configurations, data access patterns, connectors and governance mechanisms to deliver informed recommendations.
Secure integrations with enterprise repositories and collaboration platforms such as Google Drive, SharePoint, Slack, Teams, GitHub, GitLab, Jira, Confluence, Salesforce, Snowflake, Databricks and BI tools.
Lead end‑to‑end AI security implementation projects, covering identity integration, access control design, data protection, monitoring, incident response and compliance reporting.

Required profile

5+ years of experience in security engineering, cloud security, IAM or security architecture.
Strong communication skills for C‑suite and executive audiences.
Degree in Computer Science, Cyber Security, Information Systems, Engineering or equivalent experience.
Self‑starter passionate about responsible AI deployment and able to own client engagements.

Required skills

Experience with cloud platforms (AWS, Azure, GCP) and SaaS security (SSO, SCIM, RBAC, MFA, conditional access).
Identity provider expertise (Okta, Microsoft Entra, Google Workspace, Microsoft 365).
Proficiency in Python, APIs, Terraform, CI/CD pipelines (GitHub Actions, GitLab CI), container technologies and infrastructure‑as‑code security.
Knowledge of secure SDLC, application security testing, API security, secrets management, vulnerability management and software supply chain security.
Familiarity with AI security frameworks (OWASP LLM, MITRE ATLAS, NIST AI RMF) and generative AI platforms such as Claude Enterprise.

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Published 3 days ago

Expires 1 month from now

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