Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? AWS Worldwide Specialists Org (WWSO) is responsible for driving revenue, adoption, and growth from the largest 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 - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience in Kubernetes, Docker or containers ecosystem - Hands-on understanding of deep learning, reinforcement learning, and other ML algorithms and infrastructure, including their applications in robotics and autonomous systems - Experience with Physical AI frameworks and simulation platforms such as Isaac Lab, Isaac Sim, or equivalent robotics simulation environments - Knowledge of MLOps tools and workflows for model development, validation, and deployment, including model-to-robot deployment pipelines - Experience working with field teams to drive adoption of ML and Physical AI solutions Preferred: - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities - Experience designing software for end users or enterprise customers - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps - Experience working with 3rd party AI model providers to evaluate model quality/performance. - Experience deploying models on model hosting platforms and/or working with early adopters of model APIs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Santa Clara - 176,600.00 - 239,000.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually