AI Security Specialist

Your future role at a glance

Location: Remote

Department: Security

Schedule: Full-Time, Days

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

#LI-Remote

Life at Ascension: Where purpose meets opportunity

Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 97,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter.

Benefits that help you thrive

• Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options
• Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance
• Time to recharge: pro-rated paid time off (PTO) and holidays
• Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning
• Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources
• Family support: parental leave, adoption assistance and family benefits
• Other benefits: optional legal and pet insurance, transportation savings and more

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 qualifications 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 you'll need

• 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.

Equal employment opportunity employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

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• 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.

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.