Principal AI Engineer

We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes‑based, data‑driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant‑A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well‑Being for 2025. We’re always looking for talented, passionate professionals to join us in our mission to help change lives.

If this sounds like an environment where you’d thrive, read on to learn more.

For over 37 years, National Academy of Sports Medicine® (NASM®) has set the standard in fitness and wellness credentials and certification with best‑in‑class, evidence‑based programming. An Ascend Learning brand, NASM has delivered over 1.4 million fitness professionals in over 100 countries. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help clients set and reach their unique goals.

Join us in igniting potential and making a lasting impact in the fitness and wellness industry.

• Lead the design, development and deployment of innovative, scalable AI/ML solutions focusing on the full lifecycle of projects from conception to deployment, including building and optimizing AI models.
• Lead the team in building scalable, high‑performance LLMOps pipelines.
• Design and co‑own the Generative AI/ML system and project architecture, frameworks, tools, and processes.
• Remain versed on the latest advancements in the field, lead research initiatives, experiment with new algorithms, and identify opportunities for innovation.
• Provide technical leadership, guidance, and hands‑on coding throughout the implementation phase, ensuring seamless integration of AI features and aligning with stakeholders to define AI and Product roadmaps.
• Manage and preprocess large datasets, design efficient data‑processing pipelines, and ensure data integrity and security in adherence to privacy regulations.
• Experience designing and implementing AI/ML models with feedback loops and automated re‑training and fine‑tuning pipelines.
• Collaborate with cross‑functional teams, including product teams, data scientists, and data engineers to integrate AI capabilities into existing and new products.
• Provide technical mentorship and guidance to team members, fostering a culture of growth and innovation.
• Guide junior engineers in best practices for AI/ML, review their work, and offer feedback to foster their growth; oversee design‑review sessions across projects, ensuring consistency and adherence to best practices.
• Ensure that AI solutions are developed and deployed ethically, considering fairness, accountability, and transparency.
• Take ownership of defining project milestones, timelines, and ensuring successful delivery within specified deadlines.
• Contribute to the development and maintenance of coding standards, best practices, and documentation.
• Stay up to date with the latest AI developments and trends.

This position will work a hybrid schedule from our Gilbert, AZ office location. Remote will be considered.

• Bachelor’s degree preferred in Computer Science/Artificial Intelligence or closely related field; equivalent professional experience will also be considered. High School diploma or GED required.
• 6+ years of progressive work experience in data and analytics, big data related positions with at least 3 years in developing and implementing analytical applications.
• Experience building and deploying LLM models, prompt engineering, context management, and embedding techniques using MS…