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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Security Engineer - **Company:** SCAN, Inc. - **Location:** Long Beach, CA, United States - **Experience:** Experienced - **Salary:** $125,400.0 - $181,419.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Microsoft Azure, Bash Shell, Cyber Security, Information Leak Prevention, Data Masking, Data Security, Database Security, Identity and Access Management, Python (Programming Language), Open Web Application Security, Windows PowerShell, Role-Based Access Control, Azure Active Directory, Azure Machine Learning, Search Technologies, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Software Security, Rate Limiting, Web Filtering, Azure AKS, Grpc - **Published:** July 30, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17757227?backUrl=%2Fcareer%2F17757227%2FPrincipal-Ai-Security-Engineer-California-Long-Beach ## About the Role * Experience: 10+ years in Cybersecurity, with at least 3+ years focused specifically on AI/ML Security. * Azure Expertise: Proven track record securing Azure OpenAI, Azure AI Search, and Azure Foundry. * Technical Depth: Deep understanding of LLM vulnerabilities (Prompt Injection, Insecure Output Handling, Training Data Poisoning). * Data Security: Expertise in securing data workflows for AI, including vector database security and sensitive data masking. * Governance: Extensive knowledge of AI Governance frameworks and the regulatory landscape (EU AI Act, etc.). Technical Skills & Tools: * Platforms: Azure AI Studio, Azure Machine Learning, Azure Kubernetes Service (AKS). * AI Protocols: Experience with Model Context Protocol (MCP) and API security (REST, gRPC). * Languages: Proficiency in Python and PowerShell/Bash for automation and security tooling. * Identity: Expert-level knowledge of Azure Entra ID (formerly Azure AD) and Managed Identities for AI workloads. ## Description We are seeking a visionary Principal AI Security Engineer to serve as the primary architect and guardian of our Artificial Intelligence ecosystem. Reporting directly to the Director of Cybersecurity, you will be responsible for the end-to-end security of our AI architectures, ensuring that innovation never comes at the expense of integrity. This is a high-impact, "player-coach" role. You will provide strategic governance and framework development while remaining deeply hands-on with enterprise AI configurations, specifically within the Azure AI stack. From securing Model Context Protocol (MCP) implementations to building robust guardrails in Azure AI Foundry, you will be the technical authority ensuring our AI identities and data workflows are impenetrable., 1. AI Security Architecture & Engineering * End-to-End Security: Design and implement secure-by-design architectures for the entire AI lifecycle, including data ingestion, model training, fine-tuning, and inference. * Azure AI Specialist: Lead the security configuration for Azure OpenAI Studio, Azure AI Foundry, and Azure AI Search, ensuring enterprise-grade protection. * Hands-on Implementation: Develop and deploy security controls, including prompt injection mitigations, rate limiting, and content filtering. * MCP Integration: Securely implement and oversee Model Context Protocol (MCP) to facilitate safe communication between AI models and local/remote data sources. 2. Governance & Compliance * Framework Ownership: Establish and maintain AI security standards based on global frameworks (e.g., NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs). * Policy Development: Draft enterprise-wide policies for responsible AI usage, data privacy, and model risk management. * Identity & Data Security: Architect sophisticated identity management for AI agents (Workload Identities) and ensure data-at-rest/motion is encrypted and permissioned via Azure RBAC and Entra ID. 3. Guardrails & Monitoring * Control Building: Build automated guardrails to prevent data leakage and ensure model outputs remain within ethical and legal boundaries. * Threat Modeling: Conduct AI-specific threat modeling and red-teaming exercises to identify vulnerabilities in RAG (Retrieval-Augmented Generation) patterns. * Observability: Partner with the SOC to develop monitoring dashboards for AI-related anomalies and security events. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Old tools, new tricks](https://www.wearedevelopers.com/videos/1916-old-tools-new-tricks) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [MCP doesn’t suck — your agent does](https://www.wearedevelopers.com/videos/100202-mcp-doesn-t-suck-your-agent-does) ## Related Articles - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)