Amazon.com - Seattle, WA

posted 1 day ago

Seattle, WA
General Merchandise Retailers

About the position

Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build, fine tune, and deploy Generative AI models using Amazon SageMaker, and help customers leverage these models to power large-scale end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage. AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You must have deep technical experience working with technologies related to large language models (LLM) including LLM architectures, distributed training and inference, model evaluation, and fine-tuning techniques. Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior GenAI engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation. Travel up to 50% may be possible.

Responsibilities

  • Help develop the industry's best cloud-based solutions to grow the GenAI business.
  • Work closely with engineering teams to enable new capabilities for customers to develop and deploy GenAI workloads on AWS.
  • 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.
  • 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.
  • Work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
  • Develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on AWS.
  • Create field enablement materials for the broader technical field population.
  • Gather effective feedback from customers and translate that feedback into clear business and technical requirements.

Requirements

  • 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.
  • Experience with orchestrators/schedulers (Kubernetes, EKS, Slurm), storage systems (S3, Lustre, POSIX), and working with GPUs or custom silicon.

Nice-to-haves

  • Knowledge of distributed systems design and implementation.
  • Knowledge of large scale automation and workflow management.
  • 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).

Benefits

  • Flexible working culture.
  • Endless knowledge-sharing and mentorship opportunities.
  • Career-advancing resources.
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