The AI Security Team builds security frameworks that protect the company's AI-driven assets across the enterprise.
The team focuses on risks from Generative AI and agentic workflows, including prompt injection and model supply chain issues.
The team combines systems engineering, cloud migration, continuous integration and software development to build secure, scalable infrastructure that supports AI solutions.
Responsibilities
Lead the design and build of secure, scalable software that meets business goals.
Work with cross-functional teams and stakeholders to solve complex technical problems, drive new ideas and keep work compliant with security standards.
Set development practices, review code quality and push continuous improvement.
Model threats to agent systems, using frameworks such as the OWASP Top 10 for LLM Applications and MITRE ATLAS.
Secure tools, MCP servers and integrations by reviewing tool schemas and descriptions, validating inputs and outputs, and sandboxing code execution and browsing.
Protect multi-agent and agent-to-agent communication through scoped delegation and defenses against privilege escalation and injected instructions.
Vet base models and fine-tunes, including open-weight derivatives, as part of securing the software supply chain and model governance.
Work with security, legal, privacy and product teams to set autonomy levels, define acceptable use and align with NIST AI RMF.
Requirements
Extensive software engineering experience with strong Python skills and adherence to coding standards.
Deep knowledge of information security, AI security and agentic AI systems.
Proven ability to design scalable, secure architectures that match business needs.
Skill in managing stakeholders, identifying and engaging them, and communicating clearly enough to shape technical decisions.
Experience running telemetry, defect management and CI/CD processes.
Strong analytical skills for turning business needs into technical solutions and leading cross-functional work.
Experience guiding teams on coding frameworks, testing strategies and quality assurance practices.
Option 1: A bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity or a related field, plus 5 years of software engineering or related experience at a technology, retail or data-driven company.
Option 2: 7 years of software engineering or related experience at a technology, retail or data-driven company.
Preferred: A Security+, GISF, CISSP, CCSP or GSEC certification, or a master's degree in computer science, information technology, engineering, information systems, cybersecurity or a related field, plus 3 years of experience leading information security or cybersecurity projects.
Preferred: Knowledge of WCAG 2.2 AA, assistive technologies and digital accessibility practices, and experience building inclusive digital experiences.
Conditions
Annual base salary range: $110,000.00 to $220,000.00.
Work location: 805 SE Moberly Ln., Bentonville, AR 72712, United States of America.
The company is an equal opportunity employer.
The company maintains a drug-free workplace with a zero tolerance policy on illegal drugs and alcohol.
Benefits
Performance-based pay, including annual or quarterly bonuses.
Possible stock purchase for certain positions.
Medical, vision and dental coverage.
401(k), company-paid life insurance, and short-term and long-term disability.
PTO, including sick leave, parental leave, family care leave, bereavement, jury duty and voting.
Military leave pay, company discounts, and adoption and surrogacy expense reimbursement.
PTO and/or PPTO for vacation, sick leave, holidays or other uses, based on job classification and length of employment, meeting or exceeding paid sick leave laws.
Live Better U education program, fully paid tuition, books and fees, covering high school completion through bachelor's degrees, English Language Learning and short certificates, for full-time and part-time associates in the company's stores and clubs.