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AI Security & Healthcare Compliance

Job in Washington, District of Columbia, 20022, USA
Listing for: Healthrecon Connect
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

Role & responsibilities:

  • Own the AI Security, Privacy, and Compliance framework for AI/GenAI solutions across the organization, with particular focus on healthcare data and regulated workloads.
  • Ensure AI solutions handling PHI/PII comply with applicable healthcare security and privacy requirements, including HIPAA and organizational security policies.
  • Define secure patterns for interactions with foundation models, open-weight models, third-party model providers, AI SaaS platforms, and external APIs.
  • Define and maintain the organizations AI risk assessment and production approval process, ensuring security and compliance requirements are addressed before deployment.
  • Evaluate third-party AI vendors and models from a security, privacy, compliance, data usage, and contractual risk perspective.
  • Work closely with Legal, Compliance, Privacy, Enterprise Security, Product, Platform, and AI Engineering teams to translate regulatory requirements into practical engineering controls.
  • Maintain security evidence, risk assessments, architecture decisions, control documentation, and audit artifacts required for internal and external compliance reviews.
Qualifications/Criteria:
  • Bachelors or Masters degree in Computer Science, Information Security, Cybersecurity, Engineering, or a related technical discipline.
  • Strong foundation in cloud/application security and modern AI technologies.
  • 7+ years of overall technology/security experience, with significant experience in application, cloud, product or cybersecurity.
  • 5+ years of experience designing or implementing security controls for cloud-native or enterprise applications.
  • Practical exposure to Generative AI/LLM applications, including RAG, agents, foundation models, vector databases and model APIs.
  • Prior healthcare/HIPAA experience is strongly preferred.
  • Experience establishing security practices for a new AI platform, product, or organizational capability would be highly valuable.
  • Demonstrated experience working with regulated or sensitive-data environments, preferably healthcare, financial services, insurance or similar industries.
  • Healthcare security/privacy certifications such as HCISPP or equivalent are preferable.
  • Training/certification in AI security, responsible AI, NIST AI RMF or cloud AI security is desirable.
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