Sales Architect Amazon TA

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? 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. as is Prime Air. 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls. AWS is looking for a GenAI/ML Solutions Architect who will be the Subject Matter Expert for helping customers in France design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage GenAI on AWS. You will be familiar with the ecosystem of software vendors in the GenAI space, and will leverage this knowledge to help AWS customers in their selection process. Fluent written and verbal communication in French and English. As a GenAI/ML Specialist Solutions Architect, you will: - Partner with customers' development and data science teams to deeply understand their business objectives, technical requirements, and organizational challenges. - Design and architect AI/ML solutions that make the best use of the AWS cloud platform; Accelerate customer adoption and revenue attainment in France by partnering with Solutions Architects, Sales, Business Development, and AWS AI/ML service teams to drive SageMaker and GenAI-related workloads from exploration to production. - including AWS blog posts, whitepapers, and reference architectures and public-speaking engagements at AWS Summits, AWS re:Invent, and industry forums. - Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. Mentorship & Career Growth Work/Life Balance 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Bachelor's degree, or MBA in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Experience demonstrating the ability to architect and deliver AI/ML and GenAI solutions using AWS's full stack of AI/ML services La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats. 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.