(Senior) AI Security Engineer, PAIR Finance

• 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 (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, with the ability to map 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)
• Ability to translate technical AI risk into clear business language – you’re comfortable presenting to both engineers and senior leadership
• Comfort with ambiguity – AI regulation, standards and best practices are evolving quickly, and you help us navigate that
• Collaborative, enabling mindset – you work through influence, coaching and partnership, not gatekeeping. You help teams ship valuable AI solutions safely, not stop them
• Transparency, Execution, Ownership, Customer Centricity, Innovation and Integrity are important to us and we at PAIR Finance embody these values. Do you find yourself in these values? Then become part of our team and complement us with your individual motivation and character!

Desirable

• 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. Working closely with data scientists, ML engineers, and platform teams, you'll define and implement concrete security controls across our pipelines, infrastructure, and applications
• Bringing your solid foundation in AI/ML security, you'll own risk assessments, shape governance documentation, and translate the EU AI Act and financial-services regulations into practical technical controls
• You'll also support monitoring, incident response, and AI vendor evaluations in collaboration with Legal, Compliance, and Procurement. If you're passionate about solving complex security challenges at the intersection of AI and fintech, we invite you to join us and make a real impact
• 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