Amazon Web Services, Inc.

Technology

Sr.SolutionArchitect,GenAIPlatform

$154–208k Dallas, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Solution Architect, GenAI Platform at Amazon Web Services, Inc.. Skills: GenAI Platform, Solution Architecture, Cloud Computing, Machine Learning. Drive business development. Build pipeline”

Industry & Context.

Technology
Problems you'll solve

Solve customers' complex challenges

What They're Looking For.

Must Have

8+ years technology domain experience, 3+ years applications/infrastructures experience, 8+ years IT development/consulting experience

Nice to Have

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

What You'll Do.

Drive business development

Define PoC requirements

Understand business problems

Implement scalable GenAI solutions

Develop cloud-based GenAI solutions

Build workloads on EC2

Deploy workloads on SageMaker Hyperpod

Deploy workloads on accelerated compute

Create technical architectures

Create enablement materials

Establish thought-leadership

Collaborate with account teams

Collaborate with research scientists

Collaborate with product teams

Collaborate with ISVs

Collaborate with model providers

Drive implementations

Communicate GenAI potential

Communicate technical challenges

Leverage GPU infrastructure expertise

Leverage ML frameworks expertise

Identify cross-industry patterns

Identify cross-industry trends

Represent AWS best practices

How You'll Work.

Team & Collaboration

Account Teams; Area Specialist Teams; Product teams; ISVs; Model providers

Communication Scope

Communicate GenAI potential; Communicate technical challenges

Full Job 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 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, 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 infra

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