About the RoleWe'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
What We're Looking For- Practical, builder mindset - you can design and implement, not just advise
- Ability to balance security with product velocity
- Strong communication skills and ability to work cross-functionally
- Curiosity about emerging AI threats and willingness to stay ahead of them
Why Join Us- Work on cutting-edge AI systems and agent architectures
- High ownership and impact on core security strategy
- Collaborative, engineering-driven culture
We Offer- Paid vacation, sick time, and personal days
- 11 company paid holidays
- Quarterly UberEats voucher
- Monthly Fringe benefits
- Flexible work schedules
- Education and professional development stipend
- Health, dental, and vision benefits, with employer HSA contribution
- Long-term, short-term, and life insurances
- 401(k) with company match & profit sharing
The typical base salary range for this position is $130,000 - $160,000.
