Senior AI Security Engineer (f/w/d)

Das ist der Job

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Working closely with data scientists, ML engineers, and platform teams, you'll define and implement concrete security controls across our pipelines, infrastructure, and applications. Perform security testing / red‑teaming of LLM and ML systems (e.g. prompt injection tests, jailbreaks, exfiltration and data‑leakage tests).

Collaborative, enabling mindset – work through influence, coaching and partnership, not gatekeeping; help teams ship valuable AI solutions safely, not stop them. Strong experienced international team to support and mentor you along the way, smooth onboarding process. International team of 30+ nationalities with professionals and experts.

Company pension plan, partly covered Deutschlandticket (public transport) and access to "Corporate Benefits" voucher platform to ensure your full well‑being. Fun company summer and Christmas parties as well as regular team events.

Modern office near Uhlandstraße is complete with fresh fruit, muesli and drinks for a comfortable and enjoyable workplace. We value a diverse team and an inclusive culture. We're looking for a skilled AI Security Engineer (f/m/d) 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 can do with us: 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).

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 should bring for it: Must-haves: 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 – API security and authentication/authorization, secrets management (API keys, tokens, credentials), isolation of tenants/contexts and access control for data sources & vector stores, protection of sensitive data in prompts, logs and training data.

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 (e.g. for automated tests, log analysis, or prototype guardrails).

Background in risk assessment and in writing or reviewing policy and governance documentation. Familiarity with relevant AI standards and frameworks such as ISO 42001, OWASP LLM Top 10, NIST AI RMF, OECD AI Principles.

Understanding of EU AI Act obligations and how they apply to a fintech / financial services context – mapping them to concrete controls. Strong grasp of data protection and privacy‑by‑design in AI (data minimisation, pseudonymisation/anonymisation, retention and deletion of training and log data).

Nice‑to‑haves: 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. Soft skills that matter: Ability to translate technical AI risk into clear business language – comfortable presenting to both engineers and senior leadership.

Comfort with ambiguity – AI regulation, standards and best practices are evolving quickly, help navigate that. Our offer for you: For this senior role, our salary band is €72,000 – €87,000 gross per year (based on a 40‑hour work week). The exact offer will reflect your experience and qualifications. Thriving, financially stable company.

Flat hierarchy, transparent and appreciative feedback culture, monthly all‑hands meetings, annual feedback and evaluation cycle, regular 1‑on‑1s with your lead. Well‑structured onboarding process as well as supportive and welcoming colleagues. Personal learning & development budget as well as German and English language courses.

Unlimited employment contract, flexible working hours and 28 vacation days for your work‑life balance. This role is based in Berlin , and we have a hybrid working policy. Equal‑opportunity statement PAIR Finance is an equal‑opportunity employer.

We welcome applications from all qualified individuals regardless of ethnicity, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, or disability. #J-18808-Ljbffr