Full-Time Senior Cloud AI Security Lead

Senior Cloud AI Security Lead – GCP & Deep Security Focus (US-Based-Remote)

Note: You will work remotely but should be located continental US area and timezones.

We're looking for a US-based Senior Cloud AI Security lead with strong GCP experience and a deep background in security operations, vulnerability management, and penetration testing.

As a Senior Cloud AI Security Lead, you will:

• Lead security architecture design and implementation for security and security offerings on Google Cloud Platform, with core support for AWS and Azure environments.
• Develop comprehensive multi-cloud security strategies, frameworks and offerings that align with industry standards (SOC 2, ISO 27001, NIST, etc.).
• Architect secure implementations of AI services, including protection of ML models, training data, and AI interfaces.
• Conduct security assessments, vulnerability scans, and penetration tests to identify weaknesses in cloud environments.
• Design and implement security monitoring solutions, including Security Operations Center (SOC) integration and incident response procedures.
• Work closely with DevOps teams to integrate security into CI/CD pipelines (DevSecOps).
• Create and maintain security documentation, including policies, procedures, and architectural diagrams.
• Advise clients on remediation strategies for identified vulnerabilities and security gaps.
• Implement security automation through Infrastructure as Code (IaC) and security tooling.
• Build trusted relationships with both client stakeholders and internal Bespin delivery teams.
• Contribute to pre-sales efforts, solution validation, and security-focused workshops.

What We’re Looking For:

• 7+ years of experience in cloud security architecture, with deep expertise in GCP security services and working knowledge of AWS and Azure security services.
• Strong understanding of GCP security services including Cloud IAM, Security Command Center, VPC Service Controls, Cloud KMS, and Secret Manager.
• Experience developing and securing AI and ML in cloud environments
• Google Cloud certifications (e.g., Professional Cloud Security Engineer, Professional Cloud Architect) with additional AWS or Azure security certifications preferred.
• Experience designing and implementing SOC environments and security monitoring solutions.
• Demonstrated expertise in vulnerability management, including scanning, assessment, and remediation.
• Experience conducting or overseeing penetration testing of cloud environments.
• Coding skills in at least one programming language (Python, Go, or JavaScript preferred) with experience in security automation.
• Knowledge of security compliance frameworks (SOC 2, HIPAA, PCI DSS, etc.).
• Strong client engagement skills and ability to communicate security concepts to technical and non-technical audiences.

Nice-to-Have:

• Additional security certifications (CISSP, CCSP, CREST, CEH, or OSCP).
• Experience with multi-cloud security management platforms.
• Familiarity with container security (Kubernetes, Docker) and serverless security patterns.
• Experience with security tooling such as Prisma Cloud, Aqua Security, or Lacework.
• Background in incident response and digital forensics.
• Experience implementing Zero Trust security models.
• Experience with developing and securing generative AI implementations and LLM security and best practices.

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