AI Security Engineer

AI Security Engineer

About the Role

We're looking for an AI Security Engineer to help secure a modern platform that combines cloud infrastructure, large language models, and autonomous agents. You'll play a key role in designing and operating security controls across Azure environments, AI/LLM systems, and regulated data workflows.

This is a hands-on role for someone who understands both traditional cloud security and emerging AI security risks, and can translate that into practical, scalable protections.

What You'll Do

• Implement security architecture across Azure (networking, identity, compute, storage)
• Support developers in securing AI/LLM systems, including model access, prompt handling, data leakage prevention, and abuse mitigation
• Maintain detection and response capabilities (SIEM, EDR, SOAR)
• Lead threat modeling and risk assessments for new features, especially AI agents and APIs
• Implement and enforce security controls for regulated environments
• Manage identity and access controls (Azure AD / Entra ID, RBAC, least privilege)
• Investigate and respond to security incidents
• Partner with engineering to embed security into CI/CD pipelines and SDLC
• Conduct security reviews of infrastructure-as-code, APIs, and application architecture
• Drive compliance efforts (HIPAA, SOC 2, HITRUST, NIST and related frameworks)
• Evaluate and integrate security tools across cloud, endpoint, and application layers
• Work with technical teams on implementing patches and vulnerabilities management

Required Experience

• Minimum of 4 years’ experience in security engineering and cloud security
• Strong hands-on experience with Microsoft Azure security services (Defender for Cloud, Sentinel, etc.)
• Experience securing AI/ML systems or strong familiarity with AI/LLM security risks (prompt injection, data exfiltration, model abuse)
• Deep understanding of identity and access management (IAM), networking, and secure architecture
• Experience with SIEM/SOAR tools, EDR technologies and Vulnerability management

Preferred Qualifications

• Experience working in HIPAA-regulated environments
• Experience with infrastructure as code (Terraform, ARM, or similar)
• Experience securing LLM-based products or agent frameworks
• Familiarity with securing AI systems or adversarial testing
• Knowledge of data security (DLP, encryption, tokenization)
• Experience with container and Kubernetes security
• Certifications such as CISSP, CCSP, Azure Security Engineer Associate, or similar
• Experience in high-growth startups or fast-paced environments