Senior Associate - AI Platform Security Engineer

About This Role

Engineer, configure, and maintain security controls for Google Cloud and Vertex AI environments to establish secure-by-design foundations for AI and ML workloads within a regulated financial services environment.

Responsibilities

• Engineer, configure, and maintain security controls for Google Cloud and Vertex AI environments
• Design and implement secure Vertex AI architectures covering notebooks, pipelines, model registry, endpoints, and feature stores
• Define and enforce IAM patterns for human and non-human identities, including service accounts and Workload Identity Federation
• Implement network security controls such as VPC design, private connectivity, service perimeters, and egress restrictions for AI workloads
• Engineer encryption strategies for AI data and artifacts, including CMEK, data-at-rest, and data-in-transit protections
• Establish security guardrails and baseline configurations for AI development teams using infrastructure-as-code
• Integrate audit logging, monitoring, and alerting for Vertex AI and GCP security events
• Implement DLP controls to prevent sensitive data exposure during training and inference workflows
• Conduct threat modeling and security assessments for AI and ML use cases
• Partner with data science, ML engineering, and cloud platform teams to embed security into development workflows

Requirements

• 5+ years of experience in cloud security or security engineering roles
• Hands-on experience securing Google Cloud Platform environments
• Direct experience with Vertex AI or comparable ML platforms, including securing end-to-end ML workflows
• Strong knowledge of cloud IAM, least-privilege design, and non-human identity management
• Experience implementing network security controls in cloud environments (VPCs, private endpoints, service perimeters)
• Familiarity with AI/ML security risks such as data poisoning, model theft, inference abuse, and data leakage
• Proficiency with Python for security automation and policy enforcement
• Experience with infrastructure-as-code (Terraform preferred)
• Understanding of regulatory and compliance requirements in financial services environments

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
• 5+ years of experience in cloud security or security engineering roles

Nice to Have

• Google Professional Cloud Security Engineer certification
• Experience securing AI/ML platforms in highly regulated industries
• Familiarity with AI security frameworks such as MITRE ATLAS
• Experience with CI/CD integration for ML pipelines and security guardrails
• Knowledge of confidential computing and secure data processing techniques
• Exposure to generative AI security concerns (LLMs, RAG, agents)

Skills

* Required skills

Benefits