AI Security Engineer

About the role

We're looking for a skilled AI Security Engineer to strengthen the security of our intelligent systems. You'll be instrumental in protecting our AI/ML pipelines, embedding security best practices across the full machine learning lifecycle, and ensuring compliance with evolving industry standards.

What you'll do

• Consult and review secure architectures for our AI systems – from in-house models to third‑party LLMs (incl. RAG, vector databases, APIs, and integrations into our products and internal tools)
• Conduct AI-specific threat modeling and security reviews across the ML lifecycle (data → training → deployment → monitoring)
• Perform security testing / red-teaming of LLM and ML systems (e.g. prompt injection tests, jailbreaks, exfiltration and data-leakage tests)
• Work closely with data scientists, Machine Learning engineers, platform engineers and Compliance & IT Security to define and implement concrete controls in pipelines, infrastructure and applications
• Own and support AI risk assessments, and help write/review policies, standards and governance documentation for AI use
• Translate EU AI Act, financial-services regulation and relevant standards into practical technical and process controls
• Help define monitoring, logging and incident response for AI/LLM systems, including misuse and data-leak detection
• Collaborate with Legal, Compliance and Procurement on AI vendor selection, risk assessments and contract reviews

What you'll need

• Demonstrable experience in Artificial Intelligence/Machine Learning security in a production context – not just general cybersecurity
• Practical knowledge of LLM-specific risks, such as: prompt injection and jailbreaks, data leakage and sensitive information exposure, model inversion, membership inference, supply chain risks in AI tooling and models
• Solid understanding of the ML lifecycle and typical MLOps setups (data pipelines, training, evaluation, deployment, CI/CD, monitoring) and where to place security controls
• Experience designing or reviewing secure architectures for AI/LLM systems, including API security and authentication/authorization, secrets management, isolation of tenants/contexts
• Experience working side-by-side with data scientists or ML engineers – you have credibility in technical rooms and can challenge design decisions constructively
• Ability to read Python code and basic ML pipelines and to build small scripts/tools
• Background in risk assessment and in writing or reviewing policy and governance documentation
• Understanding of EU AI Act obligations and how they apply to a fintech / financial services context

Nice to have

• Experience reviewing AI vendor contracts or working with procurement/legal on technology and SaaS agreements
• Prior audit or regulatory experience, ideally representing technical systems to auditors or financial regulators
• Experience with logging, monitoring and incident response for AI or other high-risk systems
• Background in financial services or fintech, or another highly regulated industry

What they offer

• Strong experienced international team to support and mentor you along the way, smooth onboarding process
• Personal learning & development budget as well as German and English language courses
• Unlimited employment contract, flexible working hours and 28 vacation days
• Company pension plan, partly covered Deutschlandticket and access to Corporate Benefits voucher platform
• Modern office near Uhlandstraße with fresh fruit, muesli and drinks
• Fun company summer and Christmas parties as well as regular team events