Senior AI Data Security Engineer

Last year our HCA Healthcare colleagues invested over 156,000 hours volunteering in our communities. As an engineer with HCA Healthcare you can be a part of an organization that is devoted to giving back!

We are enabling the organization to leverage AI technologies while maintaining strong security, privacy, and compliance standards. The Senior AI/Data Security Engineer partners closely with AI and data product teams to implement and operationalize security controls across AI platforms and data solutions.

This role focuses on hands‑on security engineering, vulnerability management, threat modeling, and secure pipeline integration. The position supports established AI security frameworks and collaborates with architects and senior security leaders to ensure AI and data products meet organizational security standards.

• Conduct security testing and vulnerability assessments aligned with enterprise data security standards.
• Perform threat modeling for AI and data solutions to identify and mitigate security risks.
• Integrate automated security scans and controls into CI/CD pipelines.
• Ensure security checks are incorporated into data and model deployment pipelines.
• Implement and support monitoring tools for data/MLOps environments to detect potential security incidents.

• Apply established AI security frameworks and standards to ML and LLM-based solutions.
• Assist in operationalizing measurable AI security objectives and KPIs.
• Collaborate with Enterprise Security Architecture and AI Security Architects to implement roadmap initiatives.
• Stay current on emerging AI security threats, including adversarial ML and LLM risks.

• Partner with developers and product teams to embed secure‑by‑design principles into AI and data products.
• Collaborate with Legal, Privacy, Risk, and Information Protection teams to support timely security reviews and approvals.
• Participate in third‑party security assessments and vulnerability testing engagements.
• Serve as a security advisor to development pods on operationalizing threat detection and vulnerability remediation.

• Document identified security issues and track remediation through resolution.
• Contribute to security reporting and dashboards that provide visibility into AI and data security posture.
• Maintain security documentation aligned with regulatory and enterprise requirements.
• Ensure compliance with applicable healthcare regulations (e.g., HIPAA, HITECH).

• Support security awareness initiatives for AI and data development teams.
• Recommend security improvements where gaps are identified and track implementation progress.
• Continuously refine controls and processes based on lessons learned and evolving threat landscapes.
• Performs other duties as assigned
• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”

• Bachelors Degree in Information Systems preferred
• Bachelor's Degree required
• Five or more years of experience in a security, cloud or software engineering role

• CISSP
• CISM
• CEH
• Cloud security certifications (e.g., Google Cloud, AWS, Azure)

• Experience securing cloud environments (preferably Google Cloud).
• Strong understanding of encryption, IAM, data protection, and cloud-native security controls.
• Experience integrating security controls into CI/CD pipelines.
• Proficiency in Python or other scripting languages used in Data/ML environments.
• Knowledge of HIPAA, HITECH, and healthcare regulatory requirements.
• Familiarity with Dev Sec Ops  practices, CSPM tools, and security monitoring platforms.
• Strong analytical and problem‑solving skills.
• Ability to collaborate effectively with cross‑functional teams.

• Familiarity with ML lifecycle, model training workflows, and LLM security considerations.
• Knowledge of adversarial ML risks and AI security research.
• Experience with data cataloging and classification tools.

• Demonstrates integrity and commitment to…