AI Security Engineer

TEKsystems•Charlotte, NC
•$65 - $72•Hybrid

About The Position

We are seeking a hands-on AI Security Engineer to help design, build, and secure enterprise Generative AI solutions. The role works closely with engineering and security teams to implement security controls across LLM-powered applications, copilots, RAG solutions, and agentic AI systems. It is focused on building and deploying AI solutions, developing security guardrails, writing Python code, and integrating AI applications with enterprise security platforms rather than governance-only or advisory work. This is a contract position based in Charlotte, North Carolina, with a hybrid workplace. The stated pay range is $65.00–$72.00 per hour. The role may be eligible for benefits, subject to eligibility, job classification, length of employment, elections, and applicable plan or program terms.

Requirements

  • 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 or development experience with Python.
  • Experience integrating applications with SIEM or security monitoring platforms.
  • Understanding of common AI security risks, including prompt injection, sensitive information disclosure, data leakage, insecure output handling, excessive agent permissions or autonomy, RAG and vector/embedding vulnerabilities, and model and AI supply-chain risk.
  • Experience working with REST APIs and integrating security controls into applications and cloud services.

Nice To Haves

  • 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.

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, sensitive data exposure, data leakage, insecure model outputs, and excessive agent autonomy.
  • Develop security integrations within the Microsoft AI Foundry and Azure AI ecosystem.
  • Design and implement AI gateway controls to centralize security policy enforcement across model traffic.
  • Implement prompt inspection and filtering, LLM response filtering, PII and sensitive-data redaction, secrets detection, model access controls, rate limiting and abuse prevention, and 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.

Benefits

  • Medical insurance, if eligible.
  • Dental insurance, if eligible.
  • Vision insurance, if eligible.
  • Critical Illness, Accident, and Hospital coverage, if eligible.
  • 401(k) retirement plan with pre-tax and Roth post-tax contributions available, if eligible.
  • Voluntary life and AD&D insurance for the employee and dependents, if eligible.
  • Short- and long-term disability coverage, if eligible.
  • Health Spending Account (HSA), if eligible.
  • Transportation benefits, if eligible.
  • Employee Assistance Program, if eligible.
  • Time off or leave, which may include PTO, vacation, or sick leave, if eligible.
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