AI Security Engineer (SaaS)

TL;DR

AI Security Engineer (SaaS): Driving security implementation, automation, and compliance across AI/ML development lifecycles with an accent on model integrity, adversarial attack mitigation, and agentic AI threat vectors. Focus on embedding secure development practices into SDLC and collaborating cross-functionally to secure cloud-native and serverless architectures.

Location: Must be based in or able to commute to Atlanta, GA (Hybrid: 3 days/week in office)

Company

hirify.global is a leading provider of cloud-based software for public sector and government organizations, specializing in procurement, budgeting, and grants management.

What you will do

• Assess and mitigate security risks specific to AI/ML systems, including data poisoning, prompt injection, and model integrity.
• 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 secure agentic AI systems, including multi-agent architectures and autonomous decision-making pipelines.
• Contribute to AI governance initiatives, risk assessments, and responsible AI frameworks.
• Partner cross-functionally to embed AI security controls across engineering and operations teams.

Requirements

• 7-10+ years of experience in a hands-on security architecture and engineering role in an agile SaaS organization.
• Proven success driving cross-functional security initiatives.
• Direct experience with security architecture in microservice, cloud-native, and serverless environments.
• Hands-on experience with GitOps, security tooling, and automation development.
• Working familiarity with AI/ML security frameworks such as OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.
• Awareness of agentic AI architectures and associated risks.

Nice to have

• Direct experience with LLM security, model red-teaming, or AI threat modeling.
• Hands-on work securing agentic AI frameworks like LangChain, AutoGen, or CrewAI.
• Experience with AI governance programs, risk registers, or responsible AI policies.
• Relevant certifications such as CISSP, CCSP, or AI Security credentials.

Culture & Benefits

• Competitive wages for a standard 40-hour work week.
• Flexible workday arrangements tailored to role requirements.
• Wellness days including extra time off around long weekends.
• Comprehensive health and dental benefits.
• Active Community Engagement and Culture committees.
• Dynamic environment with opportunities for professional growth.