AI Security Engineer: Secure AI & Cloud Infra

AllianceBernstein L.P.; Nashville (TN); On-site; USD 120,000 - 190,000; Full time

Job summary

AllianceBernstein L.P. is seeking an AI Security Engineer in Nashville to design, implement, and support secure AI infrastructure.

You will assess AI systems for adversarial vulnerabilities, defend against prompt injections, secure model lifecycles, and collaborate with AI and engineering teams to embed security from the start. The role emphasizes hands‑on security, cloud technologies (AWS/GCP/Azure), Python, and CI/CD tooling, with ownership of AI-specific security gaps across the full AI

Qualifications

• 5–8 years of experience in security engineering, with meaningful exposure to AI systems.
• Bachelor's degree in computer science, cybersecurity, or a related field, or equivalent practical experience.
• Knowledge of information security principles, theories and concepts, plus advanced knowledge of current systems, networks, or specialized security technologies.
• Familiarity with adversarial AI concepts and AI-specific attack vectors.
• Hands‑on experience red‑teaming or adversarial testing an AI‑powered product in production.
• Strong cross‑functional communication skills — able to work fluently with both security and AI teams.
• Strong Python skills and familiarity with common AI development frameworks.
• Strong analytical skills, demonstrable curiosity in quantitative research and analysis.
• Working knowledge of cloud security practices across AWS, GCP, or Azure.
• Experience with containerization and CI/CD tooling (Docker, Kubernetes, GitHub Actions, or similar).
• Familiarity with OWASP's Top 10 for LLM Applications or MITRE ATLAS.
• Exposure to AI governance frameworks such as the NIST AI Risk Management Framework.

Responsibilities

• Assess and harden AI systems against adversarial attacks, including evasion, model inversion, and membership inference.
• Identify and mitigate AI-specific risks such as prompt injection, jailbreaking, insecure output handling, and data poisoning.
• Red-team and adversarial test AI models and AI-powered applications before and after deployment.
• Secure the AI supply chain, including model weights, dependencies, and deployment pipelines.
• Apply standard application and cloud security practices (IAM, network segmentation, secrets management) to AI infrastructure.
• Partner with AI and product teams to build security into AI development from the start, not bolted on afterward.
• Support data privacy and governance efforts, including PII handling, data lineage, and alignment with emerging AI risk frameworks.
• Translate technical security findings into clear guidance for both engineering and non-technical stakeholders.
• Be part of our 24x7x365 on call support team for our global internet point-of-presence security infrastructure.
• Provide thought leadership in industry and to fellow team members across business and technical project dimensions solving complex business requirements.
• Demonstrate forward thinking around where the organization is going and how technology can support these efforts.

Skills

Security engineering

Python

Cloud security

Adversarial AI concepts

Red-teaming

CI/CD tooling

Containerization

Networking fundamentals

Threat modeling

Education

Bachelor's degree in computer science or related field

Tools

AWS

GCP

Azure

Docker

Kubernetes

GitHub Actions

Python tooling for security

Job description

AllianceBernstein L.P. is seeking an AI Security Engineer in Nashville to design, implement, and support secure AI infrastructure.

You will assess AI systems for adversarial vulnerabilities, defend against prompt injections, secure model lifecycles, and collaborate with AI and engineering teams to embed security from the start. The role emphasizes hands‑on security, cloud technologies (AWS/GCP/Azure), Python, and CI/CD tooling, with ownership of AI-specific security gaps across the full AI