Senior Security Engineer – AI Focus

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate and address AI/ML security vulnerabilities, encompassing model integrity, data poisoning, prompt injection, adversarial attacks, and threats posed by agentic AI.

• Establish and uphold security protocols, tools, and automation throughout AI/ML pipelines and infrastructure.

• Specify and implement secure AI development and delivery methodologies across the Software Development Life Cycle (SDLC).

• Assess and enhance the security of agentic AI systems, including multi-agent frameworks, tool usage structures, and autonomous decision-making processes.

• Contribute to AI governance projects, policy formulation, risk evaluations, and frameworks promoting responsible AI usage.

• Collaborate across departments to integrate AI security measures within engineering and operations teams.

• Manage AI security initiatives from initial concept to final delivery.

• Create and update technical security documentation pertinent to AI systems and models.

• Assist with compliance efforts, audits, and technical reviews related to AI/ML environments.

⛳️ Requirements

• At least 7–10 years of hands-on experience in a security architecture and engineering position within an agile SaaS development setting.

• Demonstrated success in leading cross-functional security projects in an agile SaaS environment.

• Strong foundational knowledge and experience in core AppSec areas.

• Practical experience in security architecture and implementation for microservices, cloud-native, and serverless application designs.

• Proficient in GitOps implementation, security, and usage.

• Background in developing security tools and automation as software.

• Experience with ongoing security and compliance practices.

• Recent practical exposure to securing AI/ML environments.

• Familiarity with AI/ML security risks and frameworks, such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act.

• Understanding of agentic AI architectures and their associated risks, including autonomous agents, tool orchestration, memory systems, and multi-agent coordination.

• Preferred: direct experience with LLM security, model red-teaming, or AI threat modeling.

• Preferred: hands-on experience securing agentic AI systems utilizing LangChain, AutoGen, CrewAI, or similar tools.

• Preferred: experience in contributing to or executing AI governance initiatives, risk management registers, or responsible AI policies.

• Preferred: experience with security incident response in AI/ML settings.

• Preferred: knowledge of model transparency, explainability, bias/fairness considerations, and data lineage.

• Preferred: relevant certifications such as ISC2 AI Security, CISSP, CCSP, CSSLP, ISSAP, or ISSEP.

• Preference will be given to candidates located in the EST time zone.

🏝️ Benefits

• Competitive wages and salaries.

• Honest expectation of a 40-hour work week.

• Wellness days: two additional days off per year, on top of long weekends.

• Opportunities for community engagement through donations of time, gifts, and skills.

• Flexible workday options.

• Health and dental insurance coverage.

• Opportunities for professional growth and career advancement.

• Events organized by the culture committee for holidays, special occasions, and casual fun.

• An inclusive interview process with accommodations available upon request.