AI Deployment Engineer, Cyber

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to respond quickly to emerging threats, and AI can provide valuable insights to inform their decisions. Our team's mission is to empower these teams with the tools and expertise they need to stay ahead of the curve. We're looking for a talented AI Deployment Engineer to join our team! As an AI Deployment Engineer, you will be working closely with customers to understand their needs and develop customized solutions that meet those needs. You'll work on designing and implementing scalable architectures, integrating OpenAI models into production environments, and collaborating with cross-functional teams to ensure seamless deployment. This role requires a strong understanding of AI/ML concepts, as well as experience with cloud-based infrastructure and containerization. If you're passionate about the intersection of AI and cybersecurity, and want to make a real impact in this space, we'd love to hear from you! The ideal candidate will have: * Strong understanding of AI/ML concepts and their applications in cybersecurity * Experience working with cloud-based infrastructure (AWS, Azure, GCP) and containerization (Docker, Kubernetes) * Familiarity with OpenAI technologies and APIs * Excellent communication and collaboration skills * Ability to work independently and as part of a team * Bachelor's or Master's degree in Computer Science, AI/ML, or related field. We offer: * Competitive salary and benefits package * Opportunity to work on cutting-edge AI projects that make a real impact * Collaborative and dynamic work environment * Professional development opportunities and training * Flexible working hours and remote work options