Amazon
Senior GenAI Specialist Solutions Architect, Amazon SageMaker Service GTM
Amazon, Seattle, Washington, us, 98127
Senior GenAI Specialist Solutions Architect, Amazon SageMaker Service GTM
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. 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, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers 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 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. Key job responsibilities: You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will 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 propositions 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. 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. This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS GenAI 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. Minimum Requirements: Bachelor's degree in computer science, engineering, mathematics or equivalent. Experience developing technology solutions and evangelizing 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. Knowledge of distributed systems design and implementation or equivalent. Knowledge of large scale automation and workflow management or equivalent. 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. 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.
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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. 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, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers 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 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. Key job responsibilities: You will help develop the industry’s best cloud-based solutions to grow the GenAI business. Working closely with our engineering teams, you will 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 propositions 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. 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. This is an opportunity to be at the forefront of technological transformations, as a key technical leader. Additionally, you will work with the AWS GenAI 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. Minimum Requirements: Bachelor's degree in computer science, engineering, mathematics or equivalent. Experience developing technology solutions and evangelizing 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. Knowledge of distributed systems design and implementation or equivalent. Knowledge of large scale automation and workflow management or equivalent. 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. 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.
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