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AI Security Engineer

Winning Edge Solutions, LLCUnited States🇺🇸United StatesPosted Oct 26, 2026

Why this role stands out

Accelerate your career at the cutting edge of technology by securing next-generation AI and LLM architectures in this high-impact, flexible hybrid role. You will thrive here if you are a forward-thinking security expert eager to solve complex challenges in Generative AI while collaborating with top-tier engineering teams. Apply today to play a pivotal role in shaping the secure future of enterprise AI solutions.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
Posted17 hours ago
AWSEncryptionGoogle CloudLLMPythonGenerative AIAzureCI/CDRAGIAM

Job description

Role: AI Security Engineer
Location: Remote
Duration: 12+ Month Contract
Key Skills: AI/ML Security, Generative AI, LLM Security, Python, Cloud Security, Prompt Injection, RAG Security, Model Security, IAM, Data Protection, AWS/Azure/Google Cloud Platform

Job Description:
We are seeking an experienced AI Security Engineer to design and secure AI/ML and Generative AI solutions in an enterprise environment. The role will focus on protecting LLMs, AI applications, data, APIs, and cloud infrastructure from emerging security threats.

Responsibilities:

  • Design and implement security controls for AI/ML, LLM, RAG, and Agentic AI applications.
  • Identify and mitigate AI-specific threats including prompt injection, data leakage, model abuse, and adversarial attacks.
  • Secure RAG pipelines, vector databases, AI APIs, models, and supporting data.
  • Implement IAM, encryption, secrets management, access controls, and data protection for AI workloads.
  • Integrate AI security practices into AWS, Azure, or Google Cloud Platform environments and CI/CD pipelines.
  • Perform security assessments, vulnerability analysis, threat modeling, and risk assessments for AI solutions.
  • Establish monitoring, logging, and governance controls for AI/ML workloads.
  • Collaborate with AI/ML, Cloud, DevOps, and Cybersecurity teams to ensure secure and compliant AI deployments.

Required Qualifications:

  • Strong experience in AI/ML security, cloud security, or application security.
  • Hands-on experience with Generative AI, LLMs, RAG, and AI applications.
  • Strong Python and cloud security experience with AWS, Azure, or Google Cloud Platform.
  • Understanding of LLM security, prompt injection, data protection, IAM, API security, and threat modeling.
  • Experience securing AI/ML pipelines and production environments.
  • Strong understanding of enterprise security, risk, compliance, and Responsible AI practices.

About Us WinningEdge:

Job Search can be a painful & frustrating process. We take time to understand candidate skill sets, and job search preferences and match them with our ideal clients. Our team has a combined experience of over 100 years and we have successfully placed hundreds of candidates.


AI Security EngineerN/A

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