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Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Amazon· Solutions Architect
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Austin, TX, Santa Clara, CA, Seattle, WA, New York, NY$153.6k - $239kFull-timePosted 1mo ago

About the role

Senior solutions architect role at AWS focused on GenAI, data & AI go-to-market; responsible for defining, building, and deploying targeted GTM strategies, engaging with customers on GenAI workloads, and shaping product and roadmap priorities across AWS services.

Responsibilities

  • Drive end-to-end technical engagements with strategic customers, including foundational model builders, physical AI innovators, and enterprise architects, to design tailored AWS-powered GenAI solutions.
  • Present compelling architectures to executive and technical stakeholders and guide implementation teams through successful adoption.
  • Surface product gaps and inform roadmap priorities by serving as the voice of the customer to AWS service team leaders.
  • Develop and scale GTM plans for GenAI on AWS, interact with customers to understand business problems, and implement scalable GenAI solutions (often via proofs of concept).
  • Collaborate with account teams, research scientists, and product teams to drive model implementations and new solutions.
  • Enable AWS technical community, solution architects, and sales with customer-centric value propositions and demos of end-to-end GenAI on AWS.

Qualifications

  • 8+ years of experience in technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
  • 3+ years of design, implementation, or consulting in applications and infrastructures.
  • 10+ years of IT development or implementation/consulting in software or Internet industries.
  • Experience developing, deploying and managing AI products at scale.
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization, or experience with PyTorch or JAX.
  • 10+ years of technical specialist, design and architecture experience, or advanced technology degree.
  • Experience in computer architecture or deploying LLMs in production on GPUs/accelerators.
  • Experience deploying and serving large language models for inference using Kubernetes.
  • Hands-on understanding of deep learning and ML algorithms and infrastructure.
  • Knowledge of MLOps tools and workflows for model development, validation, and deployment.
  • Experience working with field teams to drive adoption of ML solutions.

Skills

Required:Go-to-market strategyCustomer engagement at executive levelGenAI/ML fundamentalsPyTorch/JAXKubernetesMLOpsCloud infrastructure (EC2, Lustre)Communication
Nice to have:Distributed computing

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance with option for supplemental life plans
  • Employee Assistance Program (EAP), mental health support, Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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