Role OverviewWe are seeking a Senior Security AI Engineer to strengthen our cybersecurity posture across cloud, on-premises, and AI-enabled systems. This role is ideal for someone who combines deep technical security expertise with a forward-looking understanding of AI risks, governance, and secure deployment practices.
What You Will Do
Design, implement, and maintain security controls across cloud, on-premises, and hybrid environments. Evaluate and secure AI/ML systems, including LLMs, model pipelines, and data flows. Implement controls for model access, data privacy, prompt injection prevention, model poisoning, and supply chain risks.
Why It Might Be a Fit
The ideal candidate is fluent in the architecture of AI systems — how data flows, what components are attack surfaces, and how to secure integration points. They ask the right questions to ensure a strong risk and defense posture and can translate complex technical risks into clear guidance for both engineering teams and executive leadership.
Requirements
- 7+ years of experience in cybersecurity engineering, architecture, or related roles
- Strong knowledge of cloud security (AWS, Azure, or GCP)
- Expertise in identity and access management, network security, encryption, and secure coding practices
- Hands-on experience with SIEM, EDR/XDR, vulnerability scanners, and cloud-native security tools
- Deep experience in security architecture, cloud platforms, data security, and AI/ML systems
- Background in identity and access management, network segmentation, application security, API hardening, securing containers and Kubernetes clusters, and protecting secrets and access tokens
- Strong communication skills, cross-functional leadership ability, and familiarity with AI Risk and Governance Frameworks
Benefits
- Competitive salary
- Equity
- Health insurance
- Retirement plan
- Paid time off
- Learning budget
- Parental leave
- Wellness programs
- Visa/relocation assistance
- Remote work flexibility
- Stipends
- Bonus/commission
- Paid holidays
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