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Overview: As an AI Security Engineer, you will design and implement security controls for LLM-powered apps and agentic AI systems within enterprise environments. You will integrate AI security guardrails, redaction, and policy enforcement across Microsoft AI Foundry/Azure AI, while collaborating closely with engineering and security teams. You will address risks in RAG, embeddings, and model supply chains, and ensure secure-by-design AI application deployment. This role offers hands-on work at the intersection of AI development and security in a hybrid Charlotte, NC setting. Compensation / Benefits Medical, dental & vision 401(k) plan Life Insurance (voluntary) Short/long-term disability HSA PTO/Leave
Responsibilities: Design and implement security controls for LLM-powered applications, Generative AI platforms, copilots, RAG solutions, and agentic AI systems Build and deploy AI security guardrails to protect against prompt injection, data exposure, leakage, insecure outputs, and excessive agent autonomy Develop security integrations within the Microsoft AI Foundry / Azure AI ecosystem Design and implement AI gateway controls to centralize security policy enforcement across model traffic Implement capabilities such as prompt inspection and filtering, LLM response filtering, PII redaction, Secrets detection, model access controls, rate limiting, and audit trails Integrate AI applications with SIEM platforms like Microsoft Sentinel, Splunk Develop automation, security tooling, and AI integrations using Python Address security risks related to RAG, vector databases, embeddings, model supply chains, and third-party models Partner with software, cloud, AI, and cybersecurity teams to ensure secure-by-design principles in development and deployment Help protect AI applications processing customer, employee, and regulated financial data
Key requirements: Strong hands-on experience with Generative AI, LLMs, or AI engineering Experience building and deploying production AI/LLM solutions Experience implementing AI/LLM security controls and guardrails Hands-on experience with Microsoft AI Foundry, Azure AI, Azure OpenAI, or closely related Microsoft AI technologies Strong scripting/development experience with Python Experience integrating applications with SIEM/security monitoring platforms Understanding of prompt injection, sensitive information disclosure, data leakage, insecure output handling, excessive agent autonomy, RAG/embedding vulnerabilities, and AI supply-chain risk Experience working with REST APIs and integrating security controls into cloud services Cross-functional collaboration Problem-solving under security constraints Strong communication with engineering and security teams Python development AI/LLM security and guardrails Microsoft AI Foundry / Azure AI / Azure OpenAI

Also on the board Same function, level within a rung

Level

Senior

Location

Charlotte, NC

Occupation

Information Security Engineers

Industry

Computer Systems Design Services

Posted

today

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