Senior Security Engineer - AI Focus

Euna Solutions provides purpose-built, cloud-based software for procurement, budgeting, payments, and grants management for public sector and government organizations. The Senior Security Engineer will drive security implementation, automation, and compliance across the AI/ML development lifecycle, assessing AI-specific risks and securing AI/ML pipelines, infrastructure, and agentic systems. The role will also support AI governance, cross-functional security controls, documentation, audits, and compliance initiatives.

Responsibilities:

• 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

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
• • Direct, hands-on, end to end, experience with the following
• • Security architecture and implementation in 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. You don't need to have lived in these for years; you need to understand what they're solving for
• • Awareness of agentic AI architectures and the risks that come with them — autonomous agents, tool orchestration, memory systems, multi-agent coordination
• This position will be remote with preference given to EST time zone
• • 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
• • with AI/ML workloads
• • 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)