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 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.

Key job responsibilities
You will help develop the industrys best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams you will help enable new capabilities for our customers to develop and deploy GenAI workloads on AWS. You will facilitate the enablement of AWS technical community solution architects and sales with specific customer centric value proposition and demos about end-to-end GenAI on AWS cloud.

You will possess a technical and business background that enables you to drive an engagement and interact at the highest levels with startups Enterprises and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack compute infrastructure (Amazon EC2 Lustre) ML frameworks PyTorch JAX orchestration layers Kubernetes and Slurm parallel computing (NCCL MPI) MLOPs as well as target use cases in the cloud.

You will drive the development of the GTM plan for building and scaling GenAI on AWS interact with customers directly to understand their business problems and help them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams research scientists and product teams to drive model implementations and new solutions.

You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting communicating and partnering with other teams within AWS such as product teams solutions architecture sales marketing business development and professional services as well as representing your team to executive management. You will have a natural appetite to learn optimize and build new technologies and techniques. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.

This is an opportunity to be at the forefront of technological transformations as a key technical leader. Additionally you will work with the AWS ML and EC2 product teams to shape product vision and prioritize features for AI/ML Frameworks and applications. A keen sense of ownership drive and being scrappy is a must.

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 industrys most demanding and forward-thinking builders.

About the team
The 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.

- 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.

- Experience working with end user or developer communities
- Masters 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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA Santa Clara - 176600.00 - 239000.00 USD annually
USA NY New York - 169000.00 - 228600.00 USD annually
USA TX Austin - 153600.00 - 207800.00 USD annually
USA WA Seattle - 153600.00 - 207800.00 USD annually