Ascension

AI Security Specialist

Ascension • $105K — $147K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • High School diploma or equivalent with 2 years of experience OR Associate's/Bachelor's degree OR 4 years of relevant experience required.
  • 5+ years of cybersecurity experience in areas such as security investigations, incident response, or threat detection preferred.
  • Understanding of large language models (LLMs) and AI application security risks essential.
  • Experience securing AI in Google Cloud Platform (GCP) or Microsoft Azure preferred.
  • Relevant cybersecurity certifications like CISSP or AI security-focused certifications desired.

Responsibilities

  • Evaluate and operate AI security tools to monitor AI use across environments.
  • Support AI security investigations, collaborating with Incident Response and engineering teams.
  • Partner with various teams throughout AI software development lifecycle to promote secure development practices.
  • Develop AI security standards, guardrails, and technical documentation.
  • Assess AI applications against established security frameworks and ensure compliance.

Benefits

  • Remote working opportunities.
  • Flexible full-time schedule.
  • Collaborative and innovative work environment.
Full Job Description
Your future role at a glance

Location: Remote

Department: Security

Schedule: Full-Time, Day

Salary: $105,830.21.00 - $147,521.09.00 per year

#LI-Remote

How you'll make an impact in this role

  • AI security operations: Evaluate, implement, and operate AI security tooling to monitor AI use across cloud and endpoint environments, investigate findings, and improve security visibility.
  • AI security investigations: Support investigations of AI security findings and incidents-including over-permissioned agents, sensitive data (e.g., PHI) exposure, and AI application security issues-partnering with Incident Response, engineering, and business teams to assess impact and drive remediation.
  • Secure AI development: Partner with AI engineering, Application Security, DevSecOps, infrastructure, and business teams throughout the AI SDLC to review architectures, validate findings, implement data security controls, and enable secure AI development.
  • AI security governance and guardrails: Develop AI security guardrails, standards, technical documentation, and reusable frameworks. Assess AI applications against security frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs) and ensure compliance with enterprise policies, governance requirements, and applicable regulations.

What minimum requirements you'll need

Education:

  • High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.

What additional preferences we're seeking

  • Experience and background: 5+ years of cybersecurity experience with hands-on expertise in security investigations, incident response, application security, cloud security, or threat detection.
  • AI and software development knowledge: Understanding of large language models (LLMs), AI agents, retrieval-augmented generation (RAG), AI application architectures, and common AI security risks. Familiarity with secure software development practices, AI development workflows, and CI/CD pipelines.
  • Cloud and AI platform experience: Experience securing AI solutions in Google Cloud Platform (GCP) and/or Microsoft Azure, including platforms such as Vertex AI or Azure AI Foundry. Familiarity with AI-assisted development tools, cloud-native security controls, identity and access management, and CI/CD pipelines is preferred.
  • Relevant certifications: CISSP or AI security-focused certifications are preferred.

Responsibilities

  • AI security operations: Evaluate, implement, and operate AI security tooling to monitor AI use across cloud and endpoint environments, investigate findings, and improve security visibility.
  • AI security investigations: Support investigations of AI security findings and incidents-including over-permissioned agents, sensitive data (e.g., PHI) exposure, and AI application security issues-partnering with Incident Response, engineering, and business teams to assess impact and drive remediation.
  • Secure AI development: Partner with AI engineering, Application Security, DevSecOps, infrastructure, and business teams throughout the AI SDLC to review architectures, validate findings, implement data security controls, and enable secure AI development.
  • AI security governance and guardrails: Develop AI security guardrails, standards, technical documentation, and reusable frameworks. Assess AI applications against security frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs) and ensure compliance with enterprise policies, governance requirements, and applicable regulations.


Qualifications

Education:

  • High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.

About Ascension

Ascension is a healthcare company that provides a range of services, including hospital care, primary care, and specialty care. The company operates more than 150 hospitals and 50 senior living facilities across the United States. Ascension also offers health insurance and other healthcare-related services. The company was founded in 1999 and is headquartered in St. Louis, Missouri.
Learn more about Ascension
Size
165,000 employees
Industry
Healthcare
Founded
1999
* Ladders Estimates

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