Principal Applied Artificial Intelligence Engineer

- Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope - AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences - Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment - Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree) - Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field) - Production LLM Systems: Deep hands-on experience designing and operating production LLM systems - AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context - Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space - Compilers & Program…