Senior AI Security Engineer

Clariness

. Define Clariness’ security engineering strategy and roadmap .

Posted 10/27/2026full-timeBerlin • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in security engineering, focusing on application security, cloud security, and AI security. Proven ability to develop and manage security programs, ensuring compliance with SOC 2, GDPR, and EU AI Act requirements while embedding security controls into development processes.

Highest-signal resume keywords

Security EngineeringApplication SecurityCloud SecurityThreat ModellingVulnerability Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Penetration TestingSecurity ControlsCI/CD PipelinesAI SecurityVulnerability RemediationAdversarial TestingSandboxingPrivilege ControlsSecurity AutomationAudit-Ready Documentation

Soft Skills

Strong English Communication Skills

Tools & Technologies

Security ToolingAI-Powered Security AutomationOpen-Source Security Tools

Certifications & Qualifications

SOC 2 Type II ComplianceGDPR Programme Ownership

Industry Keywords

Regulated IndustryClinical ResearchPharmaceuticalsHealthtechFintechGxP

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define Clariness’ security engineering strategy and roadmap
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
Embed security controls into development processes and CI/CD pipelines
Own AI security and governance across LLM-powered features, RAG systems and agentic pipelines
Assess and mitigate risks covered by the OWASP Top 10 for LLM Applications
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
Support autonomous vulnerability triage, LLM-powered alert analysis, compliance evidence gathering and AI-assisted threat intelligence
Assess commercial and open-source security tools based on effectiveness, operational fit and cost
Develop custom security solutions where existing tooling is insufficient
Manage the 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
Maintain audit-ready documentation
Act as primary security liaison for external auditors, regulators, Legal and Compliance

Requirements

What you’ll need

At least five years of hands-on experience in security engineering, application security or information security
Strong technical depth beyond advisory or governance responsibilities
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 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, including security automation, adversarial testing, sandboxing and privilege controls
Demonstrable compliance experience involving at least one SOC 2 audit cycle, GDPR programme ownership or implementation of EU AI Act requirements
Ability to produce audit-ready documentation and work with external auditors
Experience in a regulated industry such as clinical research, pharmaceuticals, healthtech or fintech
Knowledge of GxP or comparable regulated data-handling requirements considered a strong advantage
Strong English communication skills at C1 level

Benefits

Comp & perks

Permanent employment (Unbefristeter Arbeitsvertrag)
6-month probation period
30 days of annual leave
Flexible working hours and mobile working
Regular team events and open feedback culture
Personal and professional development opportunities
Personal development budget
Supportive and open company culture
Opportunity to collaborate with a diverse and professional team
Equal opportunity and inclusive work environment