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DWS is transforming its Technology function and growing its internal capabilities. As AI and other emerging technologies continue to reshape the business and threat landscape, we are building a focused AI Security capability that brings together the right mix of cybersecurity, engineering, architecture, data protection, offensive security, and risk expertise. These roles will help grow and evolve our security function so we can securely enable innovation while identifying and managing new and rapidly developing risks. You will be a key member of this team, and an important part of our journey to build a scalable, forward-looking AI Security capability.
The candidate for this role reports into the DWS CSO AI Security CoE Lead and will serve as a key member of the AI Security Team, responsible for engineering and implementing scalable security controls that enable the secure adoption of AI across the firm.
As a Security Engineer, VP you will: * 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.
At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We are looking for: * 5+ years of security engineering, DevSecOps, application security, cloud security, or vulnerability management engineering experience, with recent experience supporting AI/ML or GenAI solutions. * Strong Python, API, CI/CD, cloud, automation, logging, and security-tool integration skills. * Experience automating vulnerability discovery, validation, prioritization, remediation workflows, and continuous security testing, with the ability to apply these practices to emerging AI attack surfaces. * Working knowledge of LLM, RAG, agentic AI, evaluation frameworks, guardrails, and AI security telemetry. * Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.