Specialist Solutions Architect GenAI and AIML , AGS France Specialists
Specialist Solutions Architect GenAI and AIML , AGS France Specialists
Posted on :
23-05-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
23-05-2025
Job Description
Are you passionate about Artificial Intelligence Machine Learning and GenerativeAI Are you passionate about helping customers build solutions leveraging the stateoftheart AI/ML/GenAI tools on Amazon Web Service (AWS) Come join us!
At Amazon weve 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. 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 its 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 largescale 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 publicspeaking events such as AWS Summit AWS re:Invent etc.
We are open to hiring candidates to work out of one of the following locations: ParisCourbevoie Lyon Bordeaux Toulouse Lille France
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Experience in solutions architecture design implementation consulting experience of distributed applications
Experience in decisionmaker engagement
Indepth working knowledge and experience of the Artificial Intelligence Machine Learning GenAI technical domain
Handson experience with building ML data pipelines data engineering or similar technologies
Fluent written and verbal communication in English and French
The following qualifications are desired but not required:
History of successful technical consulting and/or architecture engagements with largescale 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.
AWS Solution Architecture certification or relevant cloud expertise and AWS Certified Machine Learning Specialty
Amazon est un employeur engag pour lgalit des chances. Nous sommes convaincus quune main doeuvre diversife est essentielle notre russite. Nous prenons nos dcisions de recrutement en fonction de votre exprience et de vos comptences. Nous apprcions votre envie de dcouvrir dinventer de simplifier et de construire. La protection de votre vie prive et la scurit de vos donnes constituent depuis longtemps une priorit absolue pour Amazon. Veuillez consulter notre Politique de Confidentialit pour en savoir plus sur la faon dont nous collectons utilisons et traitons les donnes personnelles de nos candidats.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At Amazon weve 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. 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 its 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 largescale 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 publicspeaking events such as AWS Summit AWS re:Invent etc.
We are open to hiring candidates to work out of one of the following locations: ParisCourbevoie Lyon Bordeaux Toulouse Lille France
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Experience in solutions architecture design implementation consulting experience of distributed applications
Experience in decisionmaker engagement
Indepth working knowledge and experience of the Artificial Intelligence Machine Learning GenAI technical domain
Handson experience with building ML data pipelines data engineering or similar technologies
Fluent written and verbal communication in English and French
The following qualifications are desired but not required:
History of successful technical consulting and/or architecture engagements with largescale 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.
AWS Solution Architecture certification or relevant cloud expertise and AWS Certified Machine Learning Specialty
Amazon est un employeur engag pour lgalit des chances. Nous sommes convaincus quune main doeuvre diversife est essentielle notre russite. Nous prenons nos dcisions de recrutement en fonction de votre exprience et de vos comptences. Nous apprcions votre envie de dcouvrir dinventer de simplifier et de construire. La protection de votre vie prive et la scurit de vos donnes constituent depuis longtemps une priorit absolue pour Amazon. Veuillez consulter notre Politique de Confidentialit pour en savoir plus sur la faon dont nous collectons utilisons et traitons les donnes personnelles de nos candidats.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
Key Skills
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