✦ Luna Orbit — Cybersecurity

(USA) Staff, Software Engineer, Information Security

at Walmart

📍 (USA) ISD Office - DGTC AR BENTONVILLE Home Office Unknown 💰 $110K – $220K USD / year Posted March 13, 2026
Salary $110K – $220K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Cybersecurity

This role focuses on securing AI and machine learning models, developing AI security strategies, and ensuring safe deployment of generative AI systems within Walmart's infrastructure.

  • Secure AI/ML models
  • Develop AI security strategies
  • Implement threat modeling
  • Conduct security testing
  • Collaborate on AI deployment

The technical environment includes Python, Hugging Face, Pytorch, FastAPI, Scikit-learn, and CI/CD pipelines, with a focus on AI security, adversarial attack mitigation, and model deployment.

The ideal candidate is a mid-level AI security engineer with expertise in machine learning, generative AI, and secure coding practices. They should have experience deploying AI models and understanding adversarial threats.

PythonAI/MLGenerative AILLMsSecure CodingCI/CDThreat ModelingSecurity Principles
Hugging FaceMLOpsAdversarial AttacksModel DeploymentSecurity Testing
PythonHugging FacePytorchFastAPIScikit-learnPydanticFlask
PythonAI/MLGenerative AILLMsMLOpsHugging FaceAdversarial AttacksModel DeploymentSecurity PrinciplesSecure CodingCI/CDThreat ModelingSecurity Testing
PythonAI/MLGenerative AILLMsMLOpsHugging FaceAdversarial AttacksModel DeploymentSecurity PrinciplesSecure CodingCI/CDSoftware ArchitectureThreat ModelingSecurity Testing
CollaborationProblem-solvingTechnical LeadershipCommunicationInnovation
Industry Retail, E-commerce, Technology
Job Function Lead AI security and model deployment strategies
PythonAI/MLGenerative AILLMsMLOpsHugging FaceAdversarial AttacksModel DeploymentSecurity PrinciplesSecure CodingCI/CDThreat ModelingSecurity Testing

Lack of experience with AI/ML frameworks, No knowledge of secure coding practices, Unfamiliarity with MLOps or model deployment

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