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AI Security Engineer
Euna SolutionsAI Security Engineer working at Euna Solutions to assess and mitigate AI/ML-specific security risks. Define and enforce secure AI practices across development cycles while collaborating with engineering teams.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonRubySDLC
About the role
Key responsibilities & impact- Assess and mitigate AI/ML-specific security risks
- Implement and maintain security tooling, automation, and processes across AI/ML pipelines and infrastructure
- Define and enforce secure AI development practices across the full SDLC
- Evaluate and secure agentic AI systems
- Contribute to AI governance initiatives
- Embed AI security controls cross-functionally across engineering and operations teams
- Own AI security projects end-to-end, from conception through delivery
Requirements
What you’ll need- 5–8 years in security engineering, DevSecOps, or a related discipline
- Solid foundation across multiple security domains: application security, cloud security, network security, and/or DevSecOps
- Working familiarity with AI/ML security frameworks — OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act
- Awareness of agentic AI architectures and the risks they introduce
- Proficiency in Python and at least one additional scripting language (Ruby or Shell)
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
- Direct experience with LLM security, model red-teaming, or AI threat modeling (Nice-to-Have)
Benefits
Comp & perks- Competitive wages
- Wellness days
- Community Engagement Committee
- Flexible workday
- Health and dental benefits
- Culture committee
ATS Keywords
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Hard Skills & Tools
security engineeringDevSecOpsapplication securitycloud securitynetwork securityPythonRubyShellLLM securityAI threat modeling