Senior Security Engineer – AI Focus

Posted 9hrs ago

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Job Description

Senior Security Engineer securing AI/ML systems at Euna Solutions, a cloud software provider for public-sector organizations. Driving AI security automation, governance, compliance, and secure development practices.

Responsibilities:

  • 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, 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, policy development, risk assessments, and responsible AI frameworks
  • 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

Requirements:

  • 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
  • Hands-on experience with security architecture and implementation for microservice, cloud-native, and serverless application architectures
  • Experience with GitOps implementation, security, and utilization
  • Experience developing security tooling and automation as software
  • Experience with continuous security and compliance
  • Recent hands-on exposure to securing AI/ML environments
  • Working familiarity with AI/ML security risks and frameworks, including OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act
  • Awareness of agentic AI architectures and 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 using LangChain, AutoGen, CrewAI, or similar frameworks
  • Preferred: experience contributing to or implementing AI governance programs, risk registers, or responsible AI policies
  • Preferred: experience with security incident response in AI/ML environments
  • Preferred: familiarity with model transparency, explainability, bias/fairness considerations, and data lineage
  • Preferred: relevant certifications such as ISC2 AI Security, CISSP, CCSP, CSSLP, ISSAP, or ISSEP
  • Preference given to candidates in the EST time zone

Benefits:

  • Competitive wages and salaries
  • Honest 40-hour work week expectation
  • Wellness days: twice a year, an extra day on top of the long weekend
  • Community engagement opportunities through time, gifts, and skills
  • Flexible workday
  • Health and dental benefits
  • Professional growth and advancement opportunities
  • Culture committee events for holidays, special occasions, and miscellaneous fun
  • Accessible interview process and accommodations upon request