AI Security Engineer - North Central region (Remote in the U.S.)
Core
Design, implement, and secure generative AI solutions including AI governance, LLM/agent security testing, shadow AI discovery, and agentic workflow development for enterprise clients.
Role type
Senior IC AI Security Engineer (Consulting/Professional Services)
Builds
Secure AI architectures, threat models, security assessments, and agentic workflow solutions for Fortune 500 and government clients.
Domain
Cybersecurity, Generative AI, Cloud Security, AI Governance
Required skills
AI security architecture, threat modeling for AI systems, agentic workflow development, cloud security (AWS/Azure/GCP), LLM security (prompt injection, data poisoning), AI governance frameworks, security assessment reporting, stakeholder engagement
Preferred skills
Model fine-tuning, policy as code (Cedar/Rego), Infrastructure as Code (Terraform), AI Security Posture Management (AISPM), MCP architecture knowledge
Technologies
Anthropic Claude, OpenAI ChatGPT/Codex, Microsoft Copilot, AWS Bedrock, Azure AI Foundry, Google Vertex, Cursor, Open Code, MCP servers, SIEM, DLP
Responsibilities
Conduct secure configuration reviews of enterprise AI platforms; Lead threat modeling for AI workloads covering prompt injection and supply chain risks; Assess AI coding tools and development environments for sandbox isolation; Advise on secure integration of SaaS AI services; Evaluate data security controls for RAG and vector databases; Design and deploy agentic AI workflows; Perform security architecture reviews for AI agents; Develop client-facing security documentation and roadmaps.
Seniority
Senior, hands-on IC
