Senior Security Engineer, AI & Healthcare

The role

You will own the technical security of the Qualified Health platform and its AI and LLM workloads, so that patient data is protected by design. You will do threat modeling, code and release reviews, and assess AI and vendor integrations before they reach production.

What you will do

• Lead threat modeling, secure design and code review for platform and AI features
• Set or improve architecture standards for cloud, identity, secrets and service-to-service access, with Engineering and DevOps
• Assess AI and vendor integrations for data flows, retention and PHI handling before production use
• Build security guardrails into CI/CD and support HIPAA Security Rule technical safeguards
• Review planned releases for vulnerabilities and help remediate or escalate critical findings
• Identify gaps in security engineering, from audit logging to response, and write recommended solutions
• Serve as a technical voice for deep security questions from customers

Required qualifications

• Depth in application and cloud security engineering, including Azure and Google Cloud (GCP)
• Enough familiarity with Azure Databricks to know what its components do and how to secure them
• At least 3 years working in healthcare
• Identity and access management (IAM) experience
• Hands-on security experience with AI and ML systems, including assessing threats and vulnerabilities in AI tools and workloads
• Ability to write and debug code and automation in Python
• Ability to use AI tools such as Claude to speed up your work
• Ability to influence engineers and explain security findings and recommendations clearly

Nice to have

• Bachelor's degree in Information Systems, Computer Science, Systems Engineering or a related field
• Healthcare experience securing software and platforms, with an understanding of HIPAA nuances (strongly preferred)
• Previous experience working with Claude or similar LLM tools
• Security certifications such as CISSP, or an engineering-focused equivalent
• Experience with GitHub-based development workflows and CI/CD security

Benefits

• Competitive salary with equity package
• Medical, dental and vision insurance
• Flexible working hours
• Hybrid work options
• Inclusive environment that fosters creativity and innovation

Before you apply

• A degree is not required; relevant experience, with or without certifications, is welcome
• Send your resume through the application link

About the company

Qualified Health is building a generative AI product for healthcare, with infrastructure for AI governance, healthcare-specific agents and algorithm monitoring. It works with leading health systems and is backed by premier investors.