Security Engineer, VP (AI Security)

About the role

DWS is transforming its Technology function and building a focused AI Security capability combining cybersecurity, engineering, architecture, data protection, offensive security and risk expertise. The Security Engineer, VP reports to the DWS CSO AI Security CoE Lead and works within the AI Security Team, engineering and implementing scalable security controls that enable the secure adoption of AI across the firm.

Key responsibilities

• Engineer and integrate AI security guardrails, gateways, logging, monitoring and controls.
• Build automated security evaluations and testing harnesses.
• Integrate AI security controls into APIs, CI/CD pipelines and cloud environments.
• Support secure deployment and monitoring of LLM, RAG and agentic applications.
• Develop tooling and automation to scale the AI Security CoE.

Required profile

• 5+ years of security engineering, DevSecOps, application security, cloud security or vulnerability management engineering experience, with recent experience supporting AI/ML or GenAI solutions.
• Experience automating vulnerability discovery, validation, prioritization, remediation workflows and continuous security testing, applicable to emerging AI attack surfaces.
• Proven ability to use AI tools to improve productivity and workflows, with critical judgment for responsible and ethical use of data and AI outputs.

Required skills

• Strong Python, API, CI/CD, cloud, automation, logging and security-tool integration skills.
• Working knowledge of LLM, RAG, agentic AI, evaluation frameworks, guardrails and AI security telemetry.

What we offer

• A choice of benefits tailored to personal needs, such as healthcare, company perks and a retirement plan.
• A hybrid working model balancing office collaboration and working from home, with the split discussed during the application and interview process.