# Senior AI Security Engineer (f/m/d) at Clariness

> Remote · United Kingdom · Senior · Security · open. Source: https://alderhq.app/jobs/greenhouse%3Aclariness%3A8245294 (read 2026-11-11).

## Facts (observed)

- Company: [Clariness](https://alderhq.app/companies/clariness)
- Location text: Berlin or Hamburg, Remote within Germany, Cape Town, UK, or Serbia; Berlin; Cape Town; Hamburg; London; Remote within Germany; Serbia
- Where it can be done from (inferred): Remote · United Kingdom (evidence: "Location: Berlin or Hamburg, Remote within Germany, Cape Town, UK, or Serbia; Berlin; Cape")
- Posted: 2026-10-06 (36 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://career.clariness.com/careers/8245294?gh_jid=8245294
- Skills listed (inferred): LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Berlin, n 7): p25 €66k, median €115k, p75 €123k

## Description (the employer's text)

Clariness is looking for a Senior AI Security Engineer (f/m/d) based Germany, UK, SA, or Serbia.

- Full-time; unlimited -

About the role:

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.

### As a Senior AI Security Engineer, you would be responsible for

- 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.
We would like you to have:

- 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 SOC 2 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, with knowledge of GxP or comparable regulated data-handling requirements considered a strong advantage, alongside strong English communication skills at C1 level.
You may ask now, why should I work for you? Let us give you a few reasons – and you'll learn more during the process.

- 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aclariness%3A8245294 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.