Senior AI/ML Specialist Solutions Architect, Amazon

• If you want to educate AWS customers about the art of the possible, while challenging the impossible, come build the future with us
• Experience working with Machine Learning and GenAI tools and architectures, agentic workflows, model training and inference optimization techniques and Large Language Models
• Experience building AI agents
• Customer-facing experience, preferably in the enterprise space
• Experience developing solutions and passion for getting hands dirty with code/scripting (e.i., python, java, c#, .NET, Node.js)
• BA/BS degree or experience in lieu

Desirable

• AWS is looking for an Artificial Intelligence/Machine Learning Solutions Architect (AI/ML SA), to join our other Subject Matter Experts (SMEs) in helping customers in Europe North (BeNeLux, Nordics and Baltics) 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, build agentic systems and drive the adoption of AWS for the AI/ML 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
• AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector
• The Europe North AI/ML Specialist SA team builds technical relationships with customers of all sizes and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey while adopting Machine Learning across their organization
• You’ll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their challenging Machine Learning projects
• Internally, you will be the voice of the customer, sharing their needs with regard to their usage of our services impacting the roadmap of AWS AI/ML features
• In this role, your creativity will link technology to tangible solutions, with the opportunity to build AI agents for a variety of use cases
• You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts) and evangelize and educate about running Machine Learning workloads on AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences)