AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. The Regional Higher Ed Lead is the single point of ownership for AWS Academy within an assigned geographic territory. This role is accountable for growing and managing a portfolio of higher education institutions, advising on technical curriculum and cloud/AI strategy, and serving as the trusted advisor connecting institutions to the right combination of AWS education programs. You will own the institutional relationship end-to-end — from pipeline development, through onboarding, through long-term account health — while defining the technical standards and requirements that ensure institutions successfully implement and deliver Academy courses. You will work across AWS teams (sales, public sector, partner organizations, curriculum, and platform engineering) to bring coordinated value to higher education institutions in your region. Key job responsibilities • Backend software development • Frontend software development • Application testing and monitoring • On-call SEV2 support • Component design • Reviewing GenAI outputs and evaluation * Designing next gen solutions powering Content design, generation and management A day in the life In this role you'll work with software engineers, product managers, and applied scientists to build the service applications that create and deliver learning content for Training & Certification's multi-million learner base. A typical day includes backend and frontend development designing components testing and monitoring applications and reviewing and evaluating GenAI-generated outputs to ensure quality. You'll participate in an on-call rotation and help drive next-generation innovations that blend traditional software engineering with AI models-accelerating learning and improving skills acquisition for AWS learners worldwide. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.