Sr 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.


About the team
The Frameworks team is highly specialized on computational workloads performance evaluations and optimization. We work with Foundation model builders and large scale training customers dive deep into the ML stack including the hardware (GPUs Custom Silicon) operating system (kernel communication libraries (NCCL MPI) Frameworks (PyTorch NeMO Jax) and models (Llama Nemotron...). We also work with containers (Docker Enroot) orchestrators (EKS) and schedulers (Slurm).


Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 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
- 8 years of IT development or implementation/consulting in the software or Internet industries experience

- 5 years of infrastructure architecture database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite S/4HANA SAP Business Warehouse SAP HANA SAP Business Objects etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 ID Boise - 153600.00 - 207800.00 USD annually