Specialist Solutions Architect GenAI and AIML, AGS France Specialists

AWS EMEA SARL (France Branch); Courbevoie; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

Un leader mondial en technologies cloud recherche un Architecte de Solutions spécialisé en IA et Machine Learning pour rejoindre son équipe à Courbevoie. La mission inclut la conception de solutions innovantes pour les clients, en utilisant les services de pointe d'AWS. Le candidat idéal possédera une expertise dans le domaine AI/ML, de solides compétences en communication, et une passion pour aider les clients à tirer le meilleur parti des technologies disponibles.

Qualifications

• Expérience dans l'architecture de solutions, mise en œuvre et conseils en applications distribuées.
• Connaissance approfondie des domaines AI/ML/GenAI.
• Maîtrise de l'anglais et du français.

Responsabilités

• Travailler avec des clients pour comprendre leurs besoins et concevoir des solutions.
• Promouvoir les services AWS AI/ML/GenAI et partager les meilleures pratiques.
• Collaborer avec les équipes pour accélérer l'adoption des solutions.

Connaissances

Intelligence Artificielle

Machine Learning

Generative AI

Solutions Architecture

Conception de solutions

Communication

Formation

Certification AWS Solution Architecture

Certification AWS Certified Machine Learning – Specialty

Description du poste

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Specialist Solutions Architect GenAI and AIML, AGS France Specialists, Courbevoie

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Client:

AWS EMEA SARL (France Branch)

Location:

Courbevoie, France

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

92af3d60ada4

Job Views:

4

Posted:

21.06.2025

Expiry Date:

05.08.2025

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Job 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

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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s in our nature to learn and be curious. Our employee-led 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life 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, there’s nothing we can’t achieve.

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.
• AWS Solution Architecture certification or relevant cloud expertise and 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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.