AI Security Engineer: Adversarial AI & Secure Infrastructure

AllianceBernstein

Nashville (TN)

On-site

USD 120,000 - 190,000

Full time

8 days ago
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Job summary

AllianceBernstein’s GTI team in Nashville seeks an AI Security Engineer to design, implement, and operate security for AI infrastructure and models across the full lifecycle. You will assess adversarial risks, defend against prompt injections, secure model weights and pipelines, and work with AI and engineering teams to bake security in from the start.

The role emphasizes hands-on cloud security, Python, and secure infrastructure, with opportunities to shape AI security strategy in a

Qualifications

  • 5–8 years of security engineering with AI experience.
  • Strong foundation in security concepts and AI risk management.
  • Experience red-teaming or adversarial testing AI-powered products.

Responsibilities

  • Assess AI systems against adversarial threats and harden defenses.
  • Identify AI-specific risks such as prompt injection and data poisoning.
  • Red-team AI models and AI-powered apps before and after deployment.
  • Secure AI supply chain, including model weights and pipelines.
  • Apply IAM, network segmentation, and secrets management to AI infra.
  • Collaborate with AI and product teams to bake security in from the start.
  • Support data privacy, governance, and alignment with risk frameworks.
  • Translate security findings to clear guidance for engineers and stakeholders.
  • Participate in 24x7 on-call security for global AI infra.

Skills

AI security
Cloud security
Python
Red-teaming
Adversarial AI
Docker
Kubernetes
GitHub Actions
OWASP LLM Top 10
MITRE ATLAS
NIST AI RMF
TCP/IP

Education

Bachelor's degree in computer science or cybersecurity

Tools

Docker
Kubernetes
GitHub Actions

Job description

AllianceBernstein’s GTI team in Nashville seeks an AI Security Engineer to design, implement, and operate security for AI infrastructure and models across the full lifecycle. You will assess adversarial risks, defend against prompt injections, secure model weights and pipelines, and work with AI and engineering teams to bake security in from the start.

The role emphasizes hands-on cloud security, Python, and secure infrastructure, with opportunities to shape AI security strategy in a

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