Sr. Solution Architect, GenAI/ML, US Gen AI Platform, AGS Specialist SA
Amazon, San Francisco, CA, United States
Job ID: 10381790 | Amazon Web Services, Inc.
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.
About the GenAI Platform Team
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 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, SageMaker 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
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
Benefits and Compensation
The base salary range for this position varies by location. 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.
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
Parental leave
Locations and Salary Ranges
Atlanta, GA – 153,600.00 – 207,800.00 USD annually
Austin, TX – 153,600.00 – 207,800.00 USD annually
Dallas, TX – 153,600.00 – 207,800.00 USD annually
Seattle, WA – 153,600.00 – 207,800.00 USD annually
Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
#J-18808-Ljbffr
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.
About the GenAI Platform Team
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 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, SageMaker 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
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
Benefits and Compensation
The base salary range for this position varies by location. 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.
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
Parental leave
Locations and Salary Ranges
Atlanta, GA – 153,600.00 – 207,800.00 USD annually
Austin, TX – 153,600.00 – 207,800.00 USD annually
Dallas, TX – 153,600.00 – 207,800.00 USD annually
Seattle, WA – 153,600.00 – 207,800.00 USD annually
Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
#J-18808-Ljbffr