The Cloud Solution Architect will design and build AI and Agentic solutions for customers, focusing on accelerating adoption of Microsoft AI products like Copilot and Azure AI. This role involves technical engagements across architecture, POCs, and MVPs, leveraging existing IP and driving consumption growth. The architect will also act as a liaison between customers and internal teams, sharing insights and feedback, and maintaining deep technical expertise in AI trends.

This role focuses on designing and delivering secure, resilient solutions for customers leveraging Microsoft's cloud and AI technologies, including Copilot. The Cloud Solution Architect (CSA) will work on security-focused technical engagements, assist with deployment and validation of security capabilities, interpret security alerts, and contribute to repeatable security solutions. The role emphasizes understanding customer security postures, risks, and operational challenges, and translating these into practical solutions. While the role involves working with AI-driven and agentic systems, its core focus is on the secure architecture, implementation, and operational readiness of these solutions within customer environments, rather than the direct development or research of AI models themselves.

This role is for a Technical Support Engineering Manager at Microsoft, leading a team of support engineers to resolve complex customer technical issues. The role involves people management, customer relationship management from a support standpoint, ensuring team readiness, and contributing to product/process improvement through feedback and automation. While the role operates within an organization that leverages AI technology, the core responsibilities do not involve building or directly managing AI models or systems.

This role is for a Cloud Solution Architect with POD Lead responsibilities, focused on driving delivery excellence and technical quality for Microsoft's Secured cloud environments, including AI solutions. The role involves overseeing vendor CSAs, ensuring compliance with standards, mentoring teams, and acting as a technical authority and operational leader for a designated group of CSAs. The focus is on customer success and accelerating business value through Microsoft's products and services, with a specific mention of AI transformation.

Microsoft is seeking a Logistics Technician in Santiago de Querétaro, MX to manage inventory and asset operations within their data centers. Responsibilities include conducting cycle audits, processing deliveries, coordinating vendor escorts, documenting shipments, initiating warranty claims, and processing equipment returns. The role involves understanding inventory management principles, warranty processes, and data bearing device destruction, contributing to the core infrastructure of Microsoft's cloud services.

This role is for a Technical Support Advisory position at Microsoft, focusing on ensuring the technical readiness and process compliance of frontline support staff and delivery partners. The role involves providing in-depth technical expertise for Microsoft products and services, mentoring engineers, and contributing to self-help initiatives and process improvements. While the role operates within an organization that leverages AI technology, the core responsibilities do not involve building or directly working with AI models or systems.

Senior Solution Architect for Financial Services at Microsoft. This role focuses on gathering customer and partner insights, defining and documenting solution architectures, and collaborating with project managers to drive the design, build, and deployment of proof of concepts and pilots. The architect will work with stakeholders to gather requirements, manage technical and business risks, and lead the adoption of Microsoft solutions, emphasizing business value and ROI.

This role is a Technical Support Advisory position within Microsoft's Customer Experience and Success (CE&S) organization. The primary focus is on ensuring the technical readiness and process compliance of frontline support staff and delivery partners. Responsibilities include case management, mentoring engineers, contributing to self-help initiatives, and providing product/process improvement feedback. The role requires experience in system development, IT, consulting, or technical troubleshooting, with a strong emphasis on customer support and delivery excellence.

Entry Level Technical Support Engineer at Microsoft, focusing on troubleshooting and resolving customer technical issues using available tools and processes. The role involves identifying defects, escalating issues, providing feedback for product improvement, and collaborating with cross-functional teams. While the role is within an organization that leverages AI, it does not involve building or directly working with AI models or systems.

This role is a Technical Support Advisory position within Microsoft's Customer Experience and Success (CE&S) organization. The primary focus is on ensuring the technical readiness and process compliance of frontline support staff and delivery partners. Responsibilities include case management, mentoring engineers, contributing to self-help initiatives, and providing product/process improvement feedback. The role requires experience in system development, IT, consulting, or technical troubleshooting, with a strong emphasis on customer support and delivery excellence.

Lead a team of support engineers to resolve complex customer technical issues, manage customer relationships from a support standpoint, and drive Microsoft Product Improvement. This role focuses on people management, response and resolution, team readiness, product/process improvement, and business integration within the Customer Service & Support (CSS) organization, which leverages AI technology to enhance customer support.

This role is a Technical Support Advisory position at Microsoft, focusing on ensuring the technical readiness and process compliance of frontline support staff and delivery partners. It involves providing in-depth technical expertise for products and services, mentoring engineers, and contributing to self-help initiatives and process improvements. The role is part of the Customer Service & Support (CSS) organization within the Customer Experience and Success (CE&S) division, which leverages AI technology to enhance support experiences.