Ai Prompt Engineer

• Create sophisticated prompts that improve the effectiveness of AI-driven security analysis
• Design, build, and maintain AI harnesses used to evaluate security-related use cases
• Leverage Generative AI to support vulnerability identification and cyber-defense research efforts
• Refine prompt strategies across multiple language model platforms to maximize quality and consistency
• Partner with security teams to better understand risks, indicators, and actionable findings
• Conduct testing and experimentation to improve AI model behavior and accuracy
• Review model responses and extract meaningful insights that can be investigated further
• Support AI-enabled approaches for security scanning, assessment, and research activities
• Collaborate with engineering and data teams to ensure findings are properly stored and consumed
• Quickly prototype new concepts and translate successful experiments into repeatable solutions
• Stay current on emerging developments in AI, cybersecurity, and prompt engineering methodologies

• Proven experience creating and optimizing advanced prompts for Large Language Models
• Hands-on experience developing AI frameworks, prompt orchestration solutions, or AI testing harnesses
• Strong knowledge of Generative AI technologies and frontier LLM platforms
• Background in cybersecurity, security operations, vulnerability management, or security testing
• Understanding of common security threats, attack vectors, malware, and defensive security concepts
• Experience supporting initiatives involving SAST, DAST, penetration testing, or vulnerability assessments
• Professional software development experience using Python, Go, .NET, or comparable technologies
• Ability to evaluate AI-generated outputs and improve model performance through experimentation
• Strong analytical, troubleshooting, and problem-solving capabilities
• Excellent communication and collaboration skills

Desired Skills & Experience

• Experience evaluating, stress testing, or challenging AI models in adversarial environments
• Exposure to AI security research or AI-focused cyber defense initiatives
• Knowledge of threat analysis, network security, ingress and egress controls, or perimeter security concepts
• Experience working with PostgreSQL, Elasticsearch, Cloud SQL, or similar database technologies
• Familiarity with integrating AI-generated findings into operational security programs
• Experience with cloud-based environments
• Exposure to Kubernetes or GKE
• Experience supporting enterprise-scale technology initiatives, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

• $76.14/hr - $85.80/hr W2
• 12-Month Contract
• Hybrid Schedule (3 Days Onsite)
• Chandler, Arizona
• Opportunity to work directly with frontier AI technologies and advanced cybersecurity initiatives
• Exposure to applied AI research, model evaluation, and enterprise security innovation

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Job Description A highly innovative enterprise cybersecurity team is expanding its Generative AI capabilities and is seeking an experienced AI Prompt Engineer to help shape the next generation of AI-powered security research and testing. This opportunity is ideal for professionals who have moved beyond simply using AI tools and have actively built, refined, and deployed sophisticated prompt-driven solutions that solve complex technical problems.

Working alongside AI specialists, software engineers, and cybersecurity professionals, you will develop advanced prompting strategies and AI workflows that support security analysis, vulnerability discovery, and automated testing initiatives. The team is focused on practical application, rapid experimentation, and delivering value quickly, making this role ideal for individuals who enjoy building, iterating, and seeing their work have immediate impact. This position offers the chance to work with leading-edge language models and emerging AI technologies in a collaborative, research-oriented environment where innovation and execution are equally important.