The Air Force Research Laboratory undertook a holistic implementation of Integrated Computational Materials Engineering (ICME) in the research laboratory environment just over 10 years ago. Efforts began with the launch of two foundational engineering problems to pave a path for ICME in both structural and functional material systems. These were quickly followed by the development of tools, infrastructure, and policies to capture and curate materials research data while providing avenues for collaboration with external research partners. As the field of ICME matured, the opportunities presented by the application of artificial intelligence and machine learning to materials research led to the establishment of several workforce development and pipeline efforts to better equip current staff, while developing a talent pipeline for future employment. Additionally, these same advances have led to progress in demonstrating autonomous materials research systems that accelerate materials discovery and development. These efforts, lessons learned, and future direction will be highlighted.