Microsoft is seeking an experienced Customer Solutions Architect to join their AI Co-Innovation laboratories in Business Development. This role offers a unique opportunity to work at the forefront of artificial intelligence, global automation, and robotics, helping partners and customers rapidly prototype future technologies.
The position is based in Redmond, with 25-50% travel to the Microsoft AI Co-Innovation Lab in Wisconsin. The ideal candidate will combine deep technical expertise in AI/ML with strong business acumen, working alongside Microsoft's partners to showcase AI possibilities and lead hands-on exploration and prototyping.
The role requires extensive experience in AI/ML development, including work with both traditional ML and foundation models (LLM, SLM). You'll be responsible for designing and developing scalable AI solutions, performing statistical modeling, and transforming data insights into intelligence. Key technical areas include Natural Language Processing, Vector Databases, Retrieval Augmented Generation, and cloud development using tools like AzureML and Azure AI Platform.
As a Customer Solutions Architect, you'll work with cross-disciplinary teams, influence stakeholders across various functions, and drive strategic customer/partner projects to success. The role demands someone who can thrive in a fast-paced, ambiguous environment while maintaining a customer-first mindset.
Microsoft offers comprehensive benefits including industry-leading healthcare, educational resources, parental leave, and investment opportunities. The company's culture emphasizes growth mindset, excellence, and innovation, making it an ideal environment for those passionate about advancing AI technology and its practical applications.
This is an exceptional opportunity to work with cutting-edge AI technology while having a direct impact on Microsoft's partners and customers. The role combines technical leadership, hands-on development, and strategic business partnership, making it perfect for someone who wants to shape the future of AI implementation across industries.