Senior Security Engineer - AI Focus

Euna Solutions; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Euna Solutions is seeking a seasoned Security Engineer who applies deep security expertise to AI/ML systems, focusing on model integrity, prompt injection, and agentic pipelines. You’ll work under the Director of Security Engineering & Operations to drive security across the AI/ML development lifecycle.

In this role you’ll define secure practices across SDLC, implement tooling and automation, and collaborate with Architecture, Product Development, Platform, DevOps, and IT.

Qualifications

• 7–10 years of hands-on security architecture and engineering in an agile SaaS environment.
• Proven cross-functional security initiative leadership in a SaaS development organization.
• Solid foundation in AppSec core domains.
• Experience with microservice, cloud-native, and serverless security architectures; GitOps; security tooling and automation; continuous security and compliance.
• Recent hands-on exposure to securing AI/ML environments and familiarity with AI security frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF).
• Awareness of agentic AI architectures and governance concepts such as model transparency and data lineage.

Responsibilities

• Assess and mitigate security risks in AI/ML systems (model integrity, data poisoning, prompt injection, adversarial attacks).
• Implement and maintain security 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 tool-use frameworks.
• Contribute to AI governance initiatives, risk assessments, and compliant 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 audits and technical assessments relevant to AI/ML environments.

Skills

Security architecture

Security engineering

AppSec

GitOps

Security automation

Cloud-native

Serverless

AI/ML security

Threat modeling

Cross-functional collaboration

Tools

LangChain

AutoGen

CrewAI

Kubernetes

Job description

The Opportunity

We're looking for a seasoned Security Engineer who has started applying that expertise to AI/ML systems. This role is a natural next step for someone who knows the security fundamentals inside and out and is now getting hands-on with the unique threat landscape that comes with AI — prompt injection, model integrity, agentic pipelines, and the rest. You don't need to have spent years in a dedicated AI security role; what matters is that you've got the security depth and the curiosity to learn fast in a space that’s evolving quickly.

Working under the Director of Security Engineering & Operations, you'll drive security implementation, automation, and compliance across our AI/ML development lifecycle — collaborating closely with Architecture, Product Development, Platform, DevOps, and IT.

What You'll Do

• 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

What You'll Bring

Required

• 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

Preferred

We know AI security is a new discipline. These aren't screens — they're signals of someone who's been leaning into this space.

• 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)

Location

This position will