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Description
Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us!
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 Machine Learning and Generative AI Solutions Architect, who will be the Subject Matter Expert (SME) for helping customers in France design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AIML and GenAI platforms. 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. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.
Key job responsibilities
Working with customers’ development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML/ GenAI Services.
Partner with SAs, Sales, Business Development and the AI/ML/GenAI Service teams to accelerate customer adoption and revenue attainment in France
Thought Leadership – Evangelize AWS AI/ML/GenAI services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
We are open to hiring candidates to work out of one of the following locations: Paris-Courbevoie, Lyon, Bordeaux, Toulouse, Lille France
Basic Qualifications
• Experience in solutions architecture, design, implementation, consulting experience of distributed applications
• Experience in decision-maker engagement
• In-depth working knowledge and experience of the Artificial Intelligence, Machine Learning, GenAI technical domain
• Hands-on experience with building ML data pipelines, data engineering, or similar technologies
• Fluent written and verbal communication in English and French
Preferred Qualifications
The following qualifications are desired but not required:
• History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
• Experience migrating or transforming legacy customer solutions to the cloud.
• Familiarity with common enterprise services and working knowledge of software development tools and methodologies.
• Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers.
• Experience working within software development or Internet-related industries.
• AWS Solution Architecture certification or relevant cloud expertise.
• Computer Science /relevant degree and/or experience highly desired.
• AWS Certified Machine Learning – Specialty
Amazon est un employeur engagé pour l’égalité des chances. Nous sommes convaincus qu’une main d’oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d’inventer, de simplifier et de construire. 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.
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