Senior Security Engineer, AI & Healthcare

About the role

Palo Alto, Hybrid * Full Time

Transform healthcare with us.

At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change.

This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.

Job Summary

The Senior Security Engineer, AI & Healthcare owns the technical security of the Qualified Health platform and its AI and LLM workloads, so that PHI is protected by design. Our product is built on AI services, third-party models and a growing vendor ecosystem, and every integration is a potential exposure path. You will make security review a fast, repeatable step in how we build and release.

You will look across our security engineering posture, identify the gaps, from audit logging to response, and work with colleagues to solve the problem. You will partner closely with DevOps and Engineering on secure design, threat modeling and release reviews, assess AI and vendor integrations before they reach production, and act as a technical voice on deep security questions from customers.

This is a hands-on Engineering role. You will use AI tools such as Claude to move quickly, and you will have the depth to debug and verify the code and automation you produce.

Key Responsibilities

• Lead threat modeling and secure design and code review for platform and AI features
• Partner with Engineering and DevOps to set or improve architecture standards for cloud, identity, secrets, and service-to-service access
• Assess AI and vendor integrations (data flows, retention, PHI handling) before implementation and production use
• Build security guardrails into CI/CD and support HIPAA Security Rule technical safeguards
• Review what Engineering and Product plan to release for vulnerabilities, and help remediate or escalate critical findings
• Identify gaps in our security engineering posture, 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), and enough familiarity with Azure Databricks to know what its components do and how to secure them
• Has worked in healthcare for at least 3 years
• 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 (Python), and to use AI tools such as Claude to speed up your work
• Ability to influence engineers and to explain security findings and recommendations clearly
• A degree is not required: relevant experience, with or without certifications, is welcome

Desirable Qualifications

• Bachelors Degree in Information Systems, Computer Science, Systems Engineering or a related field is preferred
• Healthcare experience, especially 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

Pay & Benefits

• The pay range for this role is between $200,000 and $225,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
• Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.