Morgan Stanley
Lead Web Proxy & AI Security Engineer - Vice President
Dallas, Texas · Hybrid · Director · Full-time · Posted Oct 14, 2026
- Experience
- 5+ years; no alternatives stated.
- Education
- Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or related field, or equivalent practical experience.
About the job
Designs and operates secure access controls and infrastructure that enable employees and applications to use approved AI tools and model endpoints safely and reliably.
What you'll do
- Build secure routing, authentication, policy enforcement, and DLP controls for AI traffic, while restricting unsanctioned services.
- Monitor and optimize AI access paths for security, performance, reliability, and user experience.
- Develop reusable AI access architectures and onboarding guidance, and document controls for governance and audits.
What they ask for
- 5+ years of experience engineering and designing web security and ZTNA platforms.
- Hands-on experience with secure web gateways, proxies, CASB, SSE/SASE, WAF, API gateways, or related access-control technologies.
- Experience integrating enterprise applications with REST APIs and cloud services; knowledge of authentication and authorization patterns.
- Experience with DLP, data security controls, logging pipelines, and policy enforcement in enterprise environments.
Nice to have
- Experience securing access to LLMs or GenAI platforms, or using AI gateways and model-routing or prompt-filtering controls.
- Familiarity with Kubernetes, service mesh, reverse proxies, zero-trust access patterns, or regulated environments.
Tools
Netskope, Zscaler, Palo Alto, Fortigate, WebSocket, Server Sent Events, gRPC, Python
AI focus
Enable secure enterprise adoption of approved LLMs and AI applications through access governance, traffic controls, DLP, monitoring, and performance optimization.
Model-written summary · the original posting is authoritative