Security Engineer (AI/ML)

Location: Remote in the United States, with preference given to the EST time zone.

Company

hirify.global provides cloud-based software for procurement, budgeting, payments, and grants management for public sector and government organizations.

What you will do

• Assess and mitigate AI/ML security risks, including model integrity, data poisoning, prompt injection, adversarial attacks, and agentic AI threat vectors.
• Implement and maintain security processes, tooling, automation, and controls across AI/ML pipelines, infrastructure, and the software development lifecycle.
• Evaluate and secure agentic AI systems, including multi-agent architectures, tool-use frameworks, memory systems, and autonomous decision-making pipelines.
• Contribute to AI governance through policy development, risk assessments, responsible AI frameworks, and alignment with regulatory and industry standards.
• Partner with Architecture, Product Development, Platform, DevOps, IT, engineering, and operations teams to embed AI security controls.
• Own AI security projects end-to-end, maintain technical documentation, and support compliance initiatives, audits, and technical assessments.

Requirements

• 7–10 years of hands-on experience in security architecture and engineering within an agile SaaS development organization.
• Proven success driving cross-functional security initiatives in an agile SaaS development organization.
• Strong foundation and experience in application security core domains.
• Hands-on, end-to-end experience with security architecture and implementation for microservice, cloud-native, and serverless application architectures.
• Hands-on experience with GitOps implementation, security, and utilization; security tooling and automation development as software; and continuous security and compliance.
• Recent hands-on exposure to securing AI/ML environments.
• Working familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act.
• Awareness of agentic AI architectures and associated risks, including autonomous agents, tool orchestration, memory systems, and multi-agent coordination.

Nice to have

• Direct experience with LLM security, model red-teaming, or AI threat modeling.
• Hands-on experience securing agentic AI systems using 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 and AI/ML workloads.
• Familiarity with model transparency, explainability, bias and fairness considerations, and data lineage.
• Relevant certifications such as ISC2 AI Security, CISSP, CCSP, CSSLP, ISSAP, or ISSEP.

Culture & Benefits

• Remote work with a flexible workday aligned to role requirements.
• Health and dental benefits.
• Two additional wellness days each year.
• Opportunities for professional growth, cross-functional collaboration, and creative and intellectual freedom.
• Community engagement and culture committees with regular activities and events.
• Competitive wages based on an honest 40-hour workweek.