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AI engineer

L6

3b staffingEast Boston, MAyesterday

Occupations

Computer Systems Engineers/ArchitectsSoftware DevelopersInformation Security Engineers

Industries

Computer Systems Design ServicesCustom Computer Programming ServicesComputing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
AI engineer, with GCP Vertex AI, Python & IAM Security Experienced AI/ML engineer with 10+ years' expertise in GCP Vertex AI, Python, and IAM security to design and deploy AI-driven cloud access governance and automation solutions.
Interview Process: 1 round interview
Location: 100% Remote
Preference to US Citizen, Green Card holder.
Key Responsibilities:
  • Use Vertex AI to model, detect, and fix misaligned IAM roles and permissions in GCPDesign AI-powered workflows to reduce overprovisioning and enforce least-privilege access
  • Operationalize AI models to automatically monitor and remediate permission risks across GCPCollaborate with GCP security engineers and platform teams to integrate solutions within CVS's broader cloud architecture
  • Contribute to IAM strategy, access control policy improvements, and model governance
  • Leverage tools like Vertex AI Pipelines, Cloud Functions, and BigQuery for deployment and data analysis
Must Haves:
  • 10+ years of experience in AI/ML engineering or cloud automation roles, with at least 2+ years working in GCP environments
  • Strong hands-on experience with Vertex AI, including model building, tuning, deployment, and monitoring
  • Deep familiarity with GCP IAM, roles/permissions structure, and access control policies
  • Proven experience securing cloud-native environments through AI/ML solutions
  • Proficiency in Python, with strong experience using ML libraries such as TensorFlow, scikit-learn, or PyTorchExperience building CI/CD pipelines for ML models, preferably with GCP-native tools
  • Understanding of cloud security operations, risk detection, and policy enforcement
Nice to Have:
  • Familiarity with Security Command Center, Policy Intelligence, and GCP's security tooling
  • Experience with Access Transparency and GCP audit logging
  • Background in building ML models for security-specific use cases such as access anomaly detection, insider threat, or misconfiguration analysis
  • Google Cloud Professional certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Security Engineer)
  • Knowledge of MLOps workflows, governance, and compliance in regulated environments
Apply now (opens in a new tab)
Apply now (opens in a new tab)

Level

LeadL6

Location

East Boston, MA

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

yesterday

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