Principal AI Security Engineer

🕒 Outubro 8

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $172.000 - $240.000 / ano

⏰ Tempo Integral

🔴 Especialista

👮‍♂️ Cibersegurança / Engenheiro de Segurança

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CDW

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1984

💼 Consultoria

🏥 Saúde

📚 Educação

💰 Post-IPO Equity em 2015-07

Consulting • Healthcare • Education

A CDW é uma provedora líder de soluções tecnológicas, oferecendo uma gama abrangente de produtos e serviços para atender às necessidades dos setores empresarial, governamental, de saúde e educação. Eles são especializados em fornecer serviços de infraestrutura de TI, serviços gerenciados e soluções de segurança. A CDW faz parcerias com as principais marcas de tecnologia para entregar soluções personalizadas que aumentam a produtividade e o desempenho dos negócios em vários setores. Com um forte foco em transformação digital, segurança e soluções em nuvem, a CDW apoia as empresas na navegação pelas complexidades dos ambientes de TI modernos. Sua expertise abrange vários domínios, incluindo espaços de trabalho digitais, cibersegurança e soluções empresariais, fazendo da CDW um parceiro chave na condução de avanços tecnológicos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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