Crowe · 12 hours ago
AI Security Engineer
Fort Lauderdale, FL
Full-time
Hybrid
Senior Level, Lead/Staff
$74K/yr - $148K/yr
4+ years expCrowe is a leading public accounting, consulting, and technology firm in the United States, dedicated to delivering innovative solutions. The AI Security Engineer I (Senior Staff) will be responsible for securing enterprise AI and machine learning systems, leading security assessments, and collaborating with various teams to implement security controls.
AccountingAdviceConsultingFinanceFinancial ServicesInformation TechnologyProfessional ServicesTax Consulting
No H1B
Responsibilities
Architecting secure deployment and operating models for AI, ML, and generative AI systems across cloud and hybrid environments
Conducting advanced AI security testing, including adversarial ML attacks, prompt injection simulations, and RAG manipulation assessments
Identifying and mitigating vulnerabilities in model-serving infrastructure, feature stores, embedding pipelines, and vector databases
Designing guardrails, safety filters, access controls, and secure interaction patterns for LLM- and RAG-based applications
Developing automated tooling to detect misconfigurations, insecure endpoints, and data exposure risks within AI pipelines
Collaborating with cloud and DevOps teams to secure Kubernetes clusters, GPU workloads, and infrastructure-as-code deployments
Analyzing logs, telemetry, and model outputs to detect anomalies, abuse patterns, model degradation, or malicious activity
Implementing encryption, secrets management, IAM policies, and network segmentation for AI workloads
Leading secure design and architecture reviews for AI features, APIs, and platform components
Documenting threat models, attack surfaces, risk assessments, mitigations, and compliance artifacts
Participating in AI-specific incident response, investigation, and post-incident analysis
Evaluating emerging AI security technologies, including model fingerprinting, inference protection, and secure execution environments
Supporting enterprise adoption of responsible AI, data protection, and regulatory compliance standards
Mentoring junior engineers, ML engineers, and security practitioners on AI security best practices
Contributing to cloud security posture management capabilities for AI-enabled platforms
Qualification
Required
4+ years of experience in cybersecurity, cloud security, ML engineering, or DevSecOps roles
Demonstrated experience securing AI/ML or generative AI systems in production environments
Strong understanding of ML pipelines, model architectures, and AI system components
Deep knowledge of adversarial ML attack vectors and mitigation techniques
Proficiency in Python, security testing tools, and cloud security frameworks
Ability to assess risk across distributed services, storage systems, inference APIs, and data pipelines
Strong communication skills and sound technical judgment in security decision-making
Hands-on experience with Microsoft Azure and M365 security environments
Willingness to travel occasionally for cross-functional planning and collaboration
Preferred
Bachelor's degree in Cybersecurity, Computer Science, Engineering, or a related technical field, or equivalent experience
Master's degree or advanced training in cybersecurity, AI, or related discipline
Security and cloud certifications such as SC-100, SC-900, SC-200, SC-300, AZ-500, AI-102, or equivalent AWS certifications
CISSP, CKS, or CompTIA Cloud certifications
Advanced experience securing AI platforms on Azure, including Kubernetes security (RBAC, network policies) and multi-tenant GPU workloads
Experience securing container pipelines using image scanning, signing, and policy enforcement
Expertise with secrets management solutions (e.g., Azure Key Vault, HashiCorp Vault)
Experience implementing zero-trust architecture and securing CI/CD pipelines for AI systems
Deep knowledge of generative AI and RAG security, including prevention of prompt injections, jailbreaks, context poisoning, and embedding leakage
Experience designing safe-output rendering patterns, guardrails, and red-teaming processes for generative systems
Familiarity with emerging generative AI defense techniques such as model watermarking, inference integrity checks, and output validation frameworks
Benefits
Unlimited PTO
A flexible remote work policy
A supportive environment that prioritizes sustainable, long-term performance
Company
Crowe
Crowe LLP is a public accounting, consulting, and technology firm.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2023-08-29Acquired
Leadership Team
James L. Powers
CEO
Joy Mikolajczak Duce
Managing Principal/Partner - Human Capital Consulting
Recent News
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