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Amazon Web Services

Sr. Solution Architect, GenAI Platform, GenAI Platform Specialist Solution Architects

US, GA, Atlanta · 5d ago

Not specified8+ YOE

Quick summary

AI parsed
Experience
8+ years in technology domain (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics); 3+ years in design, implementation, or consulting; Knowledge of NVIDIA GPU architectures, CUDA programming, ML/DL Frameworks, distributed computing, HPC, and ML training/inference optimization
Salary
$153,600 - $207,800 USD annually

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

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and supplemental life plans) · EAP and Mental Health Support · 401(k) matching · Paid time off · Parental leave · Adoption and Surrogacy Reimbursement coverage · Flexible Spending Accounts · Sign-on payments and restricted stock units (RSUs)

Full description

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 fou…