Senior Principal AI Security Solutions Architect

Dell Technologies•Round Rock, TX

About The Position

Dell Technologies is hiring a Senior Principal AI Security Solutions Architect for its Security and Resiliency team in Round Rock, Texas. The role focuses on designing and governing AI-native security workflows and agentic AI systems, integrating them with enterprise security platforms and applications, and establishing reusable architectures and evaluation frameworks. The position involves working with security, engineering, and business stakeholders to consolidate fragmented processes into scalable, measurable solutions. Relocation assistance is available.

Requirements

  • 12+ years of experience, or equivalent expertise, in software engineering, security engineering, cybersecurity architecture, platform architecture, or a related technical field, with a proven track record of delivering production-scale systems.
  • Proven experience designing and deploying AI, generative AI (GenAI), or agentic AI solutions within security domains, including implementing controls against prompt injection, tool abuse, and data exfiltration.
  • Deep expertise in agentic AI architecture, including context management, guardrails, least-privilege agent identity, evaluation frameworks, and optimization of cost, latency, and reliability in production environments.
  • Strong software engineering and distributed systems background, including APIs, event-driven architectures, cloud platforms, system integrations, observability, and modern programming languages such as Python, TypeScript, or Go.
  • Demonstrated ability to lead large-scale technical initiatives and influence senior stakeholders across engineering, security, and business organizations in complex, matrixed enterprise environments to drive standardization, process consolidation, and adoption of enterprise-wide solutions.

Nice To Haves

  • Experience applying AI and agentic systems within cybersecurity domains such as application security, vulnerability management, DevSecOps, threat modeling, or secure software development.
  • Experience building MCP servers or agent tools, and familiarity with LLMOps and secure-by-design frameworks such as the OWASP Top 10 for LLM Applications.

Responsibilities

  • Architect AI-native security workflows, deciding where agents, deterministic automation, and human decision points are used while ensuring safe failure modes.
  • Partner with security, engineering, and business stakeholders to consolidate fragmented processes into scalable, measurable solutions.
  • Design and govern agentic AI systems, defining agent permissions, guardrails, and controls to protect against prompt injection, tool abuse, and data exfiltration.
  • Integrate AI-driven workflows with security platforms, systems of record, identity services, and enterprise applications through APIs, event streams, and Model Context Protocol (MCP).
  • Establish reusable architectures, agent patterns, and evaluation frameworks, balancing cost, latency, reliability, and security.

Benefits

  • Relocation assistance is available.
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