Amazon Principal Partner Innovation Lead Generative AI Center 

United States, Texas, Austin 

17036001

As a Principal Partner Innovation Lead, you will drive transformative partnerships that position AWS at the forefront of the generative AI revolution. You will architect and execute a comprehensive partner innovation strategy, focusing on deep data partnerships with growing GenAI companies, model providers, and emerging technology leaders and next-generation AI startups.This role requires you to think beyond traditional consulting engagements and build the future of AI-powered enterprise solutions. You will be creating headline-worthy partnerships that fundamentally change how enterprises leverage their data with AWS services.Key job responsibilities
- Research & Development Leadership: Drive applied research initiatives that identify emerging AI trends, evaluate new model architectures, and develop forward-looking solutions that position AWS 2-3 years ahead of market demands- Market Intelligence & Trend Analysis: Continuously monitor the GenAI landscape for consolidation trends, emerging technologies, and partnership opportunities, particularly as the market evolves toward potential duopoly scenarios
Diverse Experiences
Amazon 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
Work/Life BalanceMentorship and 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.AWS Global Services

- 10+ years of leading complex, large-scale, IT, technical or engineering programs experience
- 10+ years of building profitable partner ecosystems experience
- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
- Experience in venture capital, startup ecosystem, or technology scouting roles

- Deep understanding of enterprise data architectures and how GenAI solutions integrate with existing data infrastructure
- Experience with forward deployment engineering or embedded technical partnership models