AWS Global Sales drives worldwide cloud adoption, empowering customers through tailored service, unmatched technology, and customer support. We dive deep into each customer's unique challenges to craft innovative solutions that accelerate their success with the customer-first approach that built the world's most adopted cloud.

As part of the GenAI Platform team, you'll develop and deploy strategies to accelerate customer adoption across industry verticals. You'll work directly with key customers on GenAI model training and inference, helping them adopt and scale large-scale workloads like foundation models, conduct performance evaluations, and develop demos and GTM plans.

AWS Specialist Solution Architects(SSA) are technologists with deep domain expertise and business development acumen to solve customers' most complex challenges through scalable, flexible technical architectures. As members of Area Specialist and Account Teams, SSAs guide customers through application refactoring and cloud-based system designs while handling account planning and opportunity pursuit, bringing valuable insights to product teams and strengthening the roadmap.

Key job responsibilities
-Drive business development through market sizing, pipeline building, and technical proof-of-concept requirements with customers
-Develop and execute GTM plans by working directly with customers to understand business problems and implement scalable GenAI solutions
-Develop cloud-based GenAI solutions enabling customers to build and deploy workloads on EC2, Sage Maker Hyperpod, and accelerated compute platforms
-Create technical architectures, content, and enablement materials to train field teams and establish thought-leadership
-Collaborate with account teams, research scientists, product teams, ISVs, and model providers to drive implementations and innovation
-Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks
-Identify cross-industry patterns and trends to accelerate innovation and represent AWS best practices to customers and partners

About the team
Diverse Experiences
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

Inclusive Team Culture:

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

Basic Qualifications

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 8+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred Qualifications

• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience working with end user or developer communities
• Knowledge of NVIDIA GPU architectures, CUDA programming, distributed computing, HPC, and ML training/inference optimization techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually