AI security engineer in healthcare

Clariness; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible working hours

Mobile/remote working

Personal development budget

Regular team events

Open feedback culture

Job summary

Clariness is seeking its founding-level security engineer to build and operate the security function across applications, cloud, and AI systems.

You will define priorities, partner with engineering teams on secure design, threat modelling, and vulnerability remediation, and own AI security governance for LLM-powered features and RAG pipelines.

Qualifications

• At least five years of hands-on experience in security engineering, application security or information security.
• Proven experience building or significantly developing a security programme within a product engineering environment.
• Strong practical experience across application security, cloud security, secure software development, threat modelling, penetration testing, vulnerability management and CI/CD pipelines.
• Experience assessing, testing or implementing security controls for LLM-powered applications, RAG systems or agentic pipelines.
• Hands-on experience with AI agents, either building them for security automation or securing them through adversarial testing, sandboxing and privilege controls.
• Demonstrable compliance experience involving at least one SOC2 audit cycle, GDPR programme ownership or EU AI Act requirements.
• Experience in regulated industries such as clinical research, pharmaceuticals, healthtech or fintech, with strong English at C1 level.
• Bonus: knowledge of GxP or comparable regulated data-handling requirements.

Responsibilities

• Define Clariness' security engineering strategy and roadmap, and build and operate the security function across application security, cloud security, AI and LLM security, vulnerability management and supporting security tooling.
• Work directly with engineering teams on secure system design, threat modelling, penetration testing and vulnerability remediation, embedding controls into development processes and CI/CD pipelines.
• Own AI security and governance across LLM-powered features, RAG systems and agentic pipelines, including OWASP Top 10 for LLM Applications risk assessment.
• Design and validate safeguards for AI agents, including sandboxing, privilege and access controls, secure tool use and adversarial red teaming.
• Evaluate, deploy and improve AI-powered security automation, including autonomous vulnerability triage, LLM-powered alert analysis and AI-assisted threat intelligence.
• Assess tools for effectiveness, cost and fit; develop custom solutions where existing tooling falls short.
• Manage Clariness' IT security compliance programme (SOC 2 Type II, EU AI Act high-risk obligations, GDPR Article 32) with audit-ready documentation and liaison for external auditors.

Skills

Security engineering

Threat modelling

Penetration testing

Vulnerability management

CI/CD security

AI security

Regulatory compliance

Tools

OWASP Top 10 for LLM apps

Sandboxing

Adversarial testing

Security automation

Compliance tooling

Job description

Описание

This role is about building, operating and continuously improving Clariness' security capabilities across applications, cloud infrastructure and AI systems. As our founding-level security hire, you will establish the security engineering function, define its priorities and work directly with engineering teams to embed effective security controls throughout our technology environment.

Задачи

Defining Clariness' security engineering strategy and roadmap, and building and operating the security function across application security, cloud security, AI and LLM security, vulnerability management and supporting security tooling. Working directly with engineering teams on secure system design, threat modelling, penetration testing and vulnerability remediation, while embedding appropriate security controls into development processes and CI/CD pipelines. Owning AI security and governance across LLM-powered features, RAG systems and agentic pipelines, including assessing and mitigating risks covered by the OWASP Top 10 for LLM Applications. Designing and validating safeguards for AI agents, including sandboxing, privilege and access controls, secure tool use and adversarial red teaming of AI systems. Evaluating, deploying and continuously improving AI-powered security automation, including autonomous vulnerability triage, LLM-powered alert analysis, compliance evidence gathering and AI-assisted threat intelligence. Assessing commercial and open-source security tools based on effectiveness, operational fit and cost, and developing custom solutions where existing tooling does not meet Clariness' requirements. Managing Clariness' IT security compliance programme—including SOC 2 Type II, applicable EU AI Act high-risk obligations, GDPR Article 32 technical measures and GxP IT security controls—while maintaining audit-ready documentation and acting as the primary security liaison for external auditors, regulators, Legal and Compliance.

Требования

At least five years of hands‑on experience in security engineering, application security or information security, with strong technical depth beyond advisory or governance responsibilities. Proven experience building or significantly developing a security programme within a product engineering environment, ideally as an early or founding security hire. Strong practical experience across application security, cloud security, secure software development, threat modelling, penetration testing, vulnerability management and security controls within CI/CD pipelines. Experience assessing, testing or implementing security controls for LLM‑powered applications, RAG systems or agentic pipelines. Hands‑on experience with AI agents, either building them for security automation or securing them through adversarial testing, sandboxing and privilege controls. Demonstrable compliance experience involving at least one SOC2 audit cycle, GDPR programme ownership or implementation of EU AI Act requirements, including the ability to produce audit‑ready documentation and work with external auditors. Experience in a regulated industry such as clinical research, pharmaceuticals, healthtech or fintech, alongside strong English communication skills at C1 level. Будет плюсом: knowledge of GxP or comparable regulated data‑handling requirements considered a strong advantage

Условия

A varied and exciting job with a lot of personal responsibility in an international company, where you can develop and expand your skills. Professional and personal development opportunities - incl. personal development budget. Flexible working hours and mobile working. Regular team events and open feedback culture. A versatile field of activity and challenging projects. A supportive and open company culture, providing the opportunity to collaborate with a diverse and professional team. Impact healthcare by accelerating medical innovation through improved access to clinical trials, potentially bringing needed treatments to patients faster.