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Amazon GenAI Specialist Solutions Architect, Amazon SageMaker Service GTM in San Francisco, California

Description

AWS Specialist Solutions Architects (SSAs) are technologists with expert level domain-specific knowledge. They can solve our customer’s most complex problems and scale their knowledge throughout our global sales organization. Most importantly, they form the bridge between our customers and product teams, bringing first hand customer experience into our product roadmaps and feature development plans.

Key job responsibilities

We are looking for a strong Solution Architect with a Data & AI background to enable new capabilities for our customers to deploy GenAI workloads on AWS. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interacting with customers directly to understand their business problems, and helping them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). Working with account teams, research scientists, and product teams, you’ll drive model implementations and create new solutions.

We are part of the Worldwide Specialist Organization at AWS, a team of customer obsessed architects and technical business leaders. We work backwards from our customer’s most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.

Basic Qualifications

  • Bachelor's degree in computer science, engineering, mathematics or equivalent

  • Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing

  • Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics

  • Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

  • Practical experience in distributed training frameworks and inference servers. Orchestrators/schedulers (one or several of Kubernetes, EKS, Slurm), storage systems (S3, Lustre, POSIX). Experience working with GPUs or custom silicon, profiling and optimization.

Preferred Qualifications

  • Knowledge of distributed systems design and implementation or equivalent

  • Knowledge of large scale automation and workflow management or equivalent

  • Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers

  • Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

  • Practical experience in High Performance Computing (HPC) and/or distributed training, performance profiling and optimization.

  • Experience in distributed training (PyTorch, Jax, NeMo) and/or inference (NIMS, TRT-LLM, TorchServe, Triton).

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Pursuant to the San Francisco 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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