Senior AI Security Engineer

Eunasolutions; Atlanta (GA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive wages

Wellness days

Extra long weekend

Community engagement committee

Flexible workday

Benefits

Culture committee

Job summary

Euna Solutions is seeking a seasoned Security Engineer who brings security depth to AI/ML systems. You will drive security implementation, automation, and compliance across the AI/ML development lifecycle, partnering with Architecture, Product, Platform, DevOps, and IT.

You’ll own security projects end-to-end, implement secure development practices, and help govern AI risk in a rapidly evolving space.

Qualifications

• Minimum 7–10 years in hands-on security architecture/engineering in agile SaaS
• Experience driving cross-functional security initiatives in SaaS environments
• Strong foundation in application security (AppSec) domains
• Direct experience with microservice, cloud-native, and serverless security contexts

Responsibilities

• Assess and mitigate security risks in AI/ML systems (model integrity, data poisoning, prompt injection, adversarial attacks)
• Implement and maintain security processes, tooling, and automation across AI/ML pipelines
• Define and enforce secure AI development practices across the SDLC
• Evaluate secure agentic AI systems (multi-agent architectures, tool-use frameworks)
• Contribute to AI governance initiatives (policy, risk assessments, responsible AI)
• Partner cross-functionally to embed AI security controls across teams
• Own AI security projects end-to-end from conception to delivery
• Develop and maintain security documentation for AI systems and models
• Support audits and assessments in AI/ML environments

Skills

Security architecture

AI/ML security

AppSec core domains

GitOps

Security tooling

Automation

AI governance

LLM security

Tools

LangChain

AutoGen

CrewAI

Job description

Euna Solutions is seeking a seasoned Security Engineer who brings security depth to AI/ML systems. You will drive security implementation, automation, and compliance across the AI/ML development lifecycle, partnering with Architecture, Product, Platform, DevOps, and IT.

You’ll own security projects end-to-end, implement secure development practices, and help govern AI risk in a rapidly evolving space.