Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM (AWS)

Amazon; New York (NY); On-site; USD 169,000 - 229,000; Full time

Job summary

Amazon Web Services is seeking a Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM to shape the future GTM for GenAI at AWS. You will lead technical engagements with strategic customers, design AWS-powered architectures, and guide teams through adoption of large-scale AI workloads and model deployment.

Ideal candidates have deep ML/LLM understanding, experience with GPUs, Kubernetes, and end-to-end AI product delivery.

Qualifications

• 8+ years in technology domains (software, cloud, infra).
• 3+ years design/implementation or consulting in applications.
• 10+ years IT development or consulting in software/Internet.
• Experience deploying AI products at scale and ML/LLM fundamentals.
• Hands-on with PyTorch or JAX and model training/inference lifecycles.
• Experience deploying LLMs on GPUs, Neuron, TPU or similar.

Responsibilities

• Drive end-to-end technical engagements with strategic customers.
• Present architectures to exec and technical stakeholders.
• Collaborate with service teams to surface gaps and shape roadmap.

Job description

Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Job ID: 10539386 | Amazon Web Services, Inc.

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 and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. You will be part of the core worldwide GenAI Training and Inference team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals. You will be working directly with the most important customers (across segments) in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., foundation models) on AWS, model performance evaluations, develop demos and proof-of-concepts, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.

A day in the life

Drive end‑to‑end technical engagements with strategic customers, including foundational model builders, physical AI innovators, and enterprise architects, by deeply understanding their business context and designing tailored AWS‑powered solutions. You will present compelling architectures to executive and technical stakeholders, then guide implementation teams through successful adoption. Beyond delivery, you will serve as a critical voice of the customer, collaborating directly with AWS service team leaders to surface product gaps and shape roadmap priorities, ensuring AWS continues evolving alongside the industry's most demanding and forward‑thinking builders.

About the team

Our Frameworks team specializes in computational workloads, performance evaluation, and optimization. We partner with foundation model builders, large-scale training customers, and physical AI innovators to solve complex challenges across the full ML stack. Our expertise spans hardware (GPUs, Custom Silicon), operating systems, communication libraries (NCCL, MPI), frameworks (PyTorch, NeMo, JAX), and models (Llama, Nemotron). We also support physical AI workloads involving real‑time inference, robotics simulation, and sensor data pipelines. Additionally, we work with containers (Docker, Enroot), orchestrators (EKS), and schedulers (Slurm) to deliver scalable, high‑performance solutions for the most demanding AI applications.

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 developing, deploying and managing AI products at scale
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch or JAX software
• 10+ years of technical specialist, design and architecture experience, or degree in advanced technology
• Experience in computer architecture, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• Experience deploying and serving large language models for inference using container orchestration platforms like Kubernetes.
• Hands‑on understanding of deep learning and other 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.

Preferred Qualifications

• Experience working with end user or developer communities
• Master's degree or above in engineering or equivalent STEM (Science, Technology, Engineering and Mathematics) field
• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
• Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
• Experience across at least one industry vertical (manufacturing, energy, oil & gas, etc.)
• Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
• Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
• Experience working with end user or developer communities
• 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.
• Experience with physical AI workloads, including robotics simulation, autonomous systems, or real-time inference pipelines, with hands‑on exposure to frameworks such as Isaac Sim, Isaac Lab, ROS/ROS2, or similar platforms.

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