Principal AI Security Engineer

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $172k - $240k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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CDW

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

💼 Consulting

🏥 Healthcare

📚 Education

💰 Post-IPO Equity on 2015-07

Consulting • Healthcare • Education

CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.

📋 Description

• Own CDW's AI security assessment program, including its process, criteria, and risk tiers for approving, restricting, monitoring, or blocking AI use cases, platforms, vendors, and shadow AI • Lead security assessments of AI systems, agents, and integrations before and after deployment • Partner with the AI Council, AppSec, and platform teams to incorporate assessment findings into AI use case reviews • Evaluate third-party AI vendors, purchased AI capabilities, and unapproved AI use against CDW's AI security requirements and guardrails • Define methods and tools for AI red teaming, including automated adversarial testing • Assess AI-related controls across CDW's security stack, identify gaps, and drive root-cause remediation • Define and own enterprise AI security architecture, standards, reference architectures, and secure design patterns • Set security requirements across the AI lifecycle from data handling and model selection through deployment, monitoring, and retirement • Define trust boundaries, authorization models, and least privilege for single-agent and multi-agent systems • Design end-to-end security for LLM inference pipelines, AI agents, MCP-based tool orchestration, and agentic workflows • Design and deploy guardrails, sandboxes, runtime controls, and AI gateway capabilities • Build or implement governance for AI identities, including agents, service principals, workload identities, and delegated access • Partner with Identity Engineering, Detection Engineering, and Security Operations teams on identity standards, detections, telemetry, and response playbooks • Work with engineering, data science, product, and infrastructure teams to embed security from design through production • Present risk assessments, recommendations, and investment priorities to senior leadership and security governance bodies • Mentor security engineers and architects to grow AI security expertise across CDW

🎯 Requirements

• Bachelor's degree and 10+ years in security engineering or security architecture, including hands-on work securing AI/ML systems, or 14+ years of experience in security engineering or security architecture, including hands-on work securing AI/ML systems • Proven experience designing and leading security assessments of AI systems, platforms, or vendors, and turning findings into clear, risk-based decisions • Hands-on experience securing production AI technologies, including deploying AI guardrails or sandboxes, managing AI or agent identities, detecting or mitigating prompt injection, or implementing AI security tooling • Experience building or evaluating security for production AI systems, beyond research or theory • Solid understanding of LLMs, including pretraining, fine-tuning, RLHF, inference, retrieval-augmented generation, and safety alignment, and how each layer can be attacked • Experience securing AI platforms and agent frameworks such as Microsoft Copilot Studio, Azure AI services, OpenAI or Anthropic tool use, MCP-based integrations, Semantic Kernel, or LangChain • Experience securing AI deployments in public cloud (Azure, AWS, or GCP), identity and access management, and zero trust principles • Proven ability to influence senior leaders and cross-functional teams without direct authority • Experience on a security team defending production AI systems at scale, or at a frontier AI lab, a plus • Background in Infrastructure, Cloud, Platform, or Corporate Security, Security Operations, or Detection and Response, a plus • Software security review, secure SDLC, vulnerability discovery, or offensive security experience, a plus • Published work, conference talks, CTF results, or production red team work in prompt injection, jailbreak research, or adversarial ML, a plus • Experience with AI security posture management, AI gateways, or AI observability platforms, a plus • Relevant certifications such as CISSP, CCSP, OSCP, or AI security credentials, a plus

🏖️ Benefits

• Annual bonus target of 15% subject to terms and conditions of plan • Benefits package detailed at https://cdw.benefit-info.com/ • Salary ranges may be subject to geographic differentials