AWS is seeking a GenAI/ML Specialist Solutions Architect to help customers in France design and implement scalable AI/ML solutions using AWS services like Amazon Bedrock and SageMaker. This role involves partnering with customer teams, architecting solutions, and driving adoption of GenAI workloads. The ideal candidate has deep technical experience in AI/ML and a strong background in mathematics or statistics.
Responsibilities
Partner with customers' development and data science teams to understand business objectives and technical requirements. Design and architect AI/ML solutions using AWS services such as Amazon SageMaker, Bedrock, and others. Accelerate customer adoption and revenue by driving GenAI workloads from exploration to production. Act as technical liaison between customers and AWS service teams, providing feedback to influence product roadmaps. Evangelize AWS AI/ML services through blog posts, whitepapers, and public speaking. Build internal community of GenAI subject matter experts in France.
Requirements
2+ years of design, implementation, or consulting in applications and infrastructures. 4+ years of experience in specific technology domain areas (software development, cloud computing, systems engineering, etc.). Bachelor's degree 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.
Amazon Web Services EMEA SARL is the entity through which AWS provides its services in Europe, the Middle East, and Africa. It is a subsidiary of Amazon.com, Inc. based in Luxembourg, which maintains various branches, including one in France, to act as a local vendor for tax and operational purposes.
Experience working with Data & AI related technologies (AI/ML, GenAI, Analytics, Database, Storage). Experience working with end user or developer communities. Experience with Amazon SageMaker AI, Amazon Bedrock, and Amazon Kiro. Experience architecting and delivering AI/ML and GenAI solutions using AWS's full stack.