Looking for someone experienced with Artificial Intelligence Security This is different then traditional cyber security.
Most traditional cyber security is focused on protecting against external threats. This will combine both external, and internal threats (threats that could happen internally with their own AI systems)
We are seeking an experienced AI Security Engineer with strong expertise in cloud security, data platforms, and AI/ML governance to support enterprise-scale initiatives focused on securing modern data and artificial intelligence environments. This role will play a key part in designing, implementing, and maintaining secure architectures across AWS and Snowflake while ensuring compliance, governance, and protection of sensitive data used in AI and machine learning workflows.
The ideal candidate will have hands-on experience with AWS security services, Snowflake platform security, IAM, data protection, threat detection, and securing AI/ML pipelines in cloud-native environments.
Responsibilities
- Design and implement security controls for AI/ML platforms and cloud-based data environments
- Secure AWS infrastructure including networking, IAM, storage, compute, and serverless services
- Implement and manage Snowflake security features including RBAC, masking policies, row-level security, encryption, and data governance
- Develop security architectures for AI and machine learning workflows, including model training, inference, and data pipelines
- Conduct security assessments, vulnerability analysis, and risk evaluations across cloud and AI environments
- Monitor and respond to cloud security incidents using SIEM, logging, and monitoring tools
- Collaborate with data engineering, DevOps, and AI/ML teams to integrate security best practices into CI/CD pipelines
- Ensure compliance with enterprise security standards and regulatory requirements
- Implement secrets management, key management, and secure API integrations
- Support governance initiatives related to data privacy, AI model security, and responsible AI practices
- Automate security controls and compliance checks using Infrastructure as Code (IaC) and scripting
Required Qualifications
- 5+ years of experience in cybersecurity, cloud security, or security engineering
- Strong hands-on experience with AWS cloud services and security tools
- Experience securing Snowflake environments in enterprise settings
- Knowledge of AI/ML security concepts including data poisoning, model protection, and secure AI pipelines
- Experience with:
- AWS IAM, GuardDuty, Security Hub, CloudTrail, KMS, WAF, and VPC security
- Snowflake RBAC, data masking, encryption, and governance frameworks
- Terraform, CloudFormation, or Infrastructure as Code tools
- Python, Bash, or PowerShell scripting
- CI/CD security integration and DevSecOps practices
- Understanding of security frameworks such as NIST, ISO 27001, SOC 2, or CIS benchmarks
- Experience with SIEM, logging, and monitoring platforms
- Strong troubleshooting and communication skills
Preferred Qualifications
- Experience securing Generative AI or LLM-based applications
- AWS certifications such as AWS Security Specialty or Solutions Architect
- Snowflake certifications preferred
- Experience with container security, Kubernetes, and microservices architectures
- Familiarity with data governance and compliance requirements including GDPR, HIPAA, or PCI
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