GenAI & ML Solutions Architect — France

Amazon Web Services (AWS)

Courbevoie

Sur place

EUR 120 000 - 160 000

Plein temps

14 jours+

Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

Amazon Web Services (AWS) is seeking a GenAI/ML Solutions Architect for France to help customers design GenAI-powered solutions using SageMaker, Bedrock, and other AWS services. You will partner with customer teams to translate business needs into scalable AI/ML architectures and guide deployments from exploration to production.

Strong math, statistics, and AI modeling experience are required. Fluent French and English communication is essential.

Qualifications

2+ years of design, implementation, or consulting in applications and infrastructures experience.
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.
2+ years experience developing AI models in real-world environments and integrating AI/ML and other AWS services into large‑scale production applications.

Responsabilités

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; including Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize, and other AWS AI/ML services, to solve real customer problems at scale.
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.
Act as a technical liaison between customers and AWS service teams, channeling customer-driven feedback to influence product roadmaps and continuously raise the bar on service capabilities.
Evangelize AWS AI/ML services and share best practices through technical content; including AWS blog posts, whitepapers, and reference architectures and public‑speaking engagements at AWS Summits, AWS re:Invent, and industry forums.
Build and nurture an internal community of GenAI subject matter experts in France, enabling knowledge sharing, technical readiness, and a multiplier effect across the region.