AI Security Engineer
$65.00 - $72.00 per hour
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Posted today
SENIORITY
Senior
SALARY
$65.00 - $72.00 per hour
About the role
- 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, sensitive data exposure, data leakage, insecure model 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 filteringLLM response filteringPII and sensitive-data redaction
- Secrets detection
- Model access controls
- Rate limiting and abuse prevention
- Security logging and audit trails
- Integrate AI applications and agentic workflows with SIEM platforms such as Microsoft Sentinel, Splunk, or similar security monitoring technologies.
- Develop automation, security tooling, and AI integrations using Python.
- Address security risks related to RAG, vector databases, embeddings, model supply chains, third-party models, and AI agents.
- Partner with software, cloud, AI, and cybersecurity teams to incorporate secure-by-design principles throughout AI application development and deployment.
- Help protect AI applications processing customer, employee, and regulated financial data.
- Strong hands-on experience with Generative AI, LLMs, or AI engineering.
- Experience building and deploying production AI/LLM solutions, rather than solely performing AI governance or risk assessments.
- 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 common AI security risks, including: Prompt injection
- Sensitive information disclosure
- Data leakage
- Insecure output handling
- Excessive agent permissions/autonomyRAG and vector/embedding vulnerabilities
- Model and AI supply-chain risk
- Experience working with REST APIs and integrating security controls into applications and cloud services.
- Experience with agentic AI architectures and AI agents.
- Experience with Microsoft Sentinel, Splunk, or other enterprise SIEM platforms.
- Experience securing RAG applications and vector databases.
- Familiarity with OWASP guidance for LLM/Generative AI security.
- Experience with AI gateways, API gateways, content filtering, DLP, or PII detection.
- Development experience with Node.js or Go.
- Previous experience implementing AI security controls in a highly regulated environment such as financial services.
- Job Type & LocationThis is a Contract position based out of Charlotte, NC.Pay and Benefits
- The pay range for this position is $65.00 - $72.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
- Eligibility requirements apply to some benefits and may depend on your job
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
