Review internal AI projects, pipelines, and architectures for security gaps, and drive mitigations.
Analyze emerging global threats and risks related to AI, and update our security policies, playbooks, and standards accordingly.
Define and refine scalable security processes and controls for AI and ML systems across their lifecycle.
Collaborate with engineers and product teams to implement secure-by-default patterns in CI/CD and MLOps workflows.
Build reference implementations and prototypes to validate security controls in real-world AI environments.
Write clear technical documentation, design diagrams, and decision records for broad consumption across engineering teams.
Act as a mentor and trusted advisor on secure engineering and AI safety topics.

Requirements

Option 1: Bachelor's degree in computer science, computer engineering, information systems, information technology, or related area and 5 years’ experience in technology infrastructure engineering across areas such as compute, storage, network, mobility or virtualization-related technologies.
Option 2: 7 years’ experience in technology infrastructure engineering across areas such as compute, storage, network, mobility or virtualization related technologies.
Developer background with Python hands-on programming skills.
Familiarity with containerization technologies like Docker, Kubernetes, and Helm.
Strong hands-on experience with Git repositories and version control best practices.
Hyperscale cloud platform experience: Azure and Google Cloud.
Linux expertise and Infrastructure as Code (Terraform).
AI/ML Fundamentals: Deep understanding of artificial intelligence concepts, AI frameworks, Generative AI and LLMs and model deployment processes (MLOps) and Hugging Face.
AI Model Security: Knowledge of specific threats to AI/ML models, including adversarial attacks (e.g., evasion, poisoning), model inversion, and membership inference.
Demonstrated use of AI-assisted tools to boost engineering productivity and a strong grasp of Generative AI technologies, concepts and risks.

Benefits

Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonDockerKubernetesHelmGitAzureGoogle CloudLinuxTerraformAI/ML Fundamentals

Soft Skills

mentorshipcollaborationcommunicationtechnical documentation

Certifications

Bachelor's degree in computer scienceBachelor's degree in computer engineeringBachelor's degree in information systemsBachelor's degree in information technology