Job Description A large technology organization is building out a security-focused generative AI capability and is seeking an AI Prompt Engineer in Chandler, Arizona. The team conducts research into how advanced AI models can be used to strengthen cyber-defense programs, identify technical weaknesses, and assist security teams with large-scale testing. This role focuses on creating the prompt logic and AI orchestration layer behind those capabilities. You will translate real cybersecurity objectives into detailed instructions that enable language models to perform security-oriented tasks. Projects may involve application scanning, simulated offensive testing, external attack-surface discovery, network service analysis, and detection of improper certificate behavior. The team works across multiple model providers, so expertise with a specific LLM platform is less important than knowing how to get reliable results from advanced models. Required Skills & Experience Significant practical experience developing and refining prompts for sophisticated AI use cases Cybersecurity expertise sufficient to understand and investigate technical security findings Working knowledge of application vulnerabilities, malware techniques, network boundaries, and security controls Software development experience; the team is open to Python, Go, .NET, and other programming backgrounds Experience creating AI-driven workflows, orchestration logic, or prompt-based tooling Database knowledge involving platforms such as Postgres, Elastic, or Cloud SQL Ability to independently experiment, troubleshoot model behavior, and improve results Desired Skills & Experience Understanding of secure software development and application-security testing Familiarity with static and dynamic vulnerability scanning Offensive-security or penetration-testing knowledge Experience deploying or developing applications in cloud environments Kubernetes experience Exposure to GKE or similar managed container platforms What You Will Be Doing Daily Responsibilities Convert cybersecurity testing objectives into detailed prompt-driven AI workflows Develop and maintain reusable harnesses that supply models with appropriate security context Conduct iterative model testing to determine which prompting approaches yield the strongest results Create AI-assisted techniques for examining code and running application-security assessments Develop workflows focused on external exposure, network services, and perimeter risk Support analysis of digital certificates and potential misuse scenarios Compare results produced by different commercial and frontier AI models Refine prompts based on false positives, missed findings, and model performance Work alongside data and cyber teams to move discoveries from experimentation into actionable security intelligence The Offer Contract opportunity Competitive hourly compensation You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.