AI Security Engineer

Role Description

We’re looking for a seasoned Security Engineer who has started applying that expertise to AI/ML systems. This role is a natural next step for someone who knows the security fundamentals inside and out and is now getting hands-on with the unique threat landscape that comes with AI — prompt injection, model integrity, agentic pipelines, and the rest. You don’t need to have spent years in a dedicated AI security role; what matters is that you’ve got the security depth and the curiosity to learn fast in a space that’s evolving quickly.

Working under the Director of Security Engineering & Operations, you’ll drive security implementation, automation, and compliance across our AI/ML development lifecycle — collaborating closely with Architecture, Product Development, Platform, DevOps, and IT.

What You’ll Do

• Assess and mitigate security risks specific to AI/ML systems — including model integrity, data poisoning, prompt injection, adversarial attacks, and agentic AI threat vectors.
• Implement and maintain security processes, tooling, and automation across AI/ML pipelines and infrastructure.
• Define and enforce secure AI development and delivery practices across the SDLC.
• Evaluate and help secure agentic AI systems, including multi-agent architectures, tool-use frameworks, and autonomous decision-making pipelines.
• Contribute to AI governance initiatives, including policy development, risk assessments, and responsible AI frameworks aligned with regulatory and industry standards.
• Partner cross-functionally to embed AI security controls across engineering and operations teams.
• Own AI security projects end-to-end, from conception through delivery.
• Develop and maintain technical security documentation for AI systems and models.
• Support compliance initiatives, audits, and technical assessments relevant to AI/ML environments.

Qualifications

• Minimum 7-10 years of experience in a hands-on security architecture and engineering role in an agile SaaS development organization.
• Proven success driving cross-functional security initiatives in an agile SaaS development organization.
• Solid foundation and experience in AppSec core domains.
• Direct, hands-on, end-to-end experience with the following:
• Security architecture and implementation in the context of microservice, cloud-native, and serverless application architectures.
• GitOps implementation, security, and utilization.
• Security tooling and automation development, as software.
• Continuous security and compliance.
• Recent hands-on exposure to securing AI/ML environments.
• Working familiarity with AI/ML security risks and frameworks — OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act.
• Awareness of agentic AI architectures and the risks that come with them — autonomous agents, tool orchestration, memory systems, multi-agent coordination.

Preferred

• Direct experience with LLM security, model red-teaming, or AI threat modeling.
• Hands-on work securing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, or similar frameworks).
• Experience contributing to or implementing AI governance programs, risk registers, or responsible AI policies.
• Experience with security incident response in AI/ML environments.
• Familiarity with AI governance principles: model transparency, explainability, bias/fairness considerations, and data lineage.
• Relevant certifications, e.g. ISC2 (AI Security, CISSP, CCSP, CSSLP, ISSAP, ISSEP).

Location

This position will be remote with preference given to EST time zone.

Benefits

• Competitive wages and salaries, with an honest 40-hour work week.
• Wellness days — an extra day off twice a year on top of long weekends.
• Community Engagement Committee focused on giving back to local communities.
• Flexible workday tailored to employee needs and role requirements.
• Health and dental benefits.
• Cultural events organized by the culture committee.