Senior AI Platform Security Engineer (f/m/x)

You take strategic ownership of AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services. Leading the design of a multi-layered defense strategy, you protect against jailbreaks, prompt injection, data exfiltration, and tool misuse through advanced input/output scanners, safety filters, and autonomous agents. You establish and enhance the security lifecycle for LLMs/Agents: threat modeling, attack simulations, red teaming, LLM-specific pentests, automated security assessments, and incident response frameworks. Acting as a trusted advisor, you cooperate with legal, compliance, and data protection teams to shape governance and regulatory alignment for AI security. You drive operational excellence: define KPIs, implement canary rollouts, optimize cost/performance, scale to additional data sources, and ensure 24/7 reliability. Mentoring and guiding an agile team of engineers and data scientists, you foster best practices in architecture, security, and platform engineering. Ensuring enterprise-grade quality, you oversee platform services in terms of architecture, code, IT security, compliance, documentation, and operational KPIs.

University degree in computer science, mathematics, or a comparable field with an IT focus, or equivalent qualification. 8+ years of experience in software or platform security and architecture in cloud environments (Azure/AWS), including containerized microservices, CI/CD pipelines, GitOps, Infrastructure as Code, service mesh, SLOs, high availability, and disaster recovery. Deep expertise in LLM and agent security: advanced protection against jailbreaks, prompt and indirect injection, input/output scanners, policy engines, and moderation strategies. Proven leadership in security lifecycle and compliance: threat modeling, red teaming, LLM-specific pentests, automated security assessments in CI/CD, telemetry, alerting, and incident response. Strong engineering background with architectural decision-making: Python, C# or TypeScript, REST and event-driven systems, observability practices, and experience with agile methods. Exceptional communication and stakeholder management skills; business fluent English required, German is a plus. Demonstrated ability to lead cross- initiatives and mentor teams in complex, high-security environments.

Challenging projects with which we shape the mobility of tomorrow together. Various personal and professional development opportunities. Attractive, fair, and performance-based remuneration. High job security. Annual special payments search as vacation pay, Christmas bonus, and profit sharing. Flexible working hours including six weeks of annual leave and overtime compensation. Discounted BMW & MINI conditions. Many other benefits at bmw.jobs/benefits