Remote Senior AI Security Engineer — ML/LLM Security

Eunasolutions; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Wellness days

Flexible workday

Competitive wages

Extra long weekend

Job summary

Euna Solutions is seeking a seasoned Security Engineer to apply deep security expertise to AI/ML systems in a fully remote role. You will tackle prompt injection, model integrity, agentic pipelines, and evolving AI threat vectors while collaborating with Architecture, Product Development, Platform, DevOps, and IT.

You’ll drive security across the AI/ML development lifecycle, implement automation, and support governance initiatives in a fast-paced SaaS environment.

Qualifications

• 7–10 years hands-on security architecture and engineering in an agile SaaS environment.
• Strong track record driving cross-functional security initiatives.
• Solid foundation in AppSec core domains and secure AI/ML practices.
• Hands-on experience with security architecture in microservice, cloud-native, and serverless apps.
• Familiarity with AI security risk frameworks: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF.

Responsibilities

• Assess and mitigate AI/ML security risks including model integrity and prompt injection.
• 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 and multi-agent architectures.
• Contribute to AI governance, risk assessments, and responsible AI policies.
• Partner with engineering and operations to embed AI security controls."],
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Skills

Security architecture

AI/ML security

Cloud-native

GitOps

Security automation

SDLC security

Tools

LangChain

AutoGen

CrewAI

Security tooling

Job description

Euna Solutions is seeking a seasoned Security Engineer to apply deep security expertise to AI/ML systems in a fully remote role. You will tackle prompt injection, model integrity, agentic pipelines, and evolving AI threat vectors while collaborating with Architecture, Product Development, Platform, DevOps, and IT.

You’ll drive security across the AI/ML development lifecycle, implement automation, and support governance initiatives in a fast-paced SaaS environment.