Qualifications You Must Have: • Bachelors degree in Science, Technology, Engineering or Mathematics (STEM) and 10+ years of relevant digital and/or engineering experience; or Advanced Degree in a related field and 7+ years of relevant digital and/or engineering work experience • Demonstrated experience leading the development and deployment of Data & AI solutions within complex engineering or enterprise environments, including technical leadership of significant initiatives • Experience leading production AI/ML solutions, including model development, deployment, MLOps, system integration, and operational support • Experience architecting and delivering software systems that integrate AI capabilities into engineering or business workflows • Hands on experience using LLM-based chat systems (ChatGPT, Gemini, Copilot, etc.). Qualifications We Prefer: • Professional Certificates for AI and Cloud Applications (e.g., AWS Solution Architect Associate or Profession, AWS ML Specialty, etc.) • Prior knowledge of the aerospace industry (design, analysis, manufacture, and/or aftermarket support) • Experience developing, deploying, and maintaining a production cloud-based application (Amazon Web Services or Microsoft Azure) • Experience deploying and managing ML on edge devices • Experience developing, deploying, and maintaining Python-based packages or web/API applications • Experience implementing various types of AI solutions including, LLM/GenAI, Machine Vision, Physics Informed Regressions, etc.