Cloud Solution Architect - Azure AI and Machine Learning

Job Description:

With over ⚠,⚠ employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is tasked with the strategy, design, and execution of Microsoft's complete customer experience. Come along with us and help us create a future where customers flock to us because of our superior products and services, as well as our connected and differentiated customer experience.

The organization responsible for the Global Customer Success (GCS) is leading the effort to create a desired customer experience through the creation of support offers, the digital transformation of tools, and the delivery of operational excellence across the CE&S. The organization responsible for the Microsoft Customer Experience & Success (CE&S) has a responsibility for strategy, design, and execution of the entire customer experience. Come along with us and help us create a future where customers flock to us because of our superior products and services, as well as our connected and differentiated customer experience.

Microsoft's purpose is to enable every individual and every organization on the planet to achieve more. As individuals, we all have a growth mindset, we innovate to help others and we collaborate to achieve our shared objectives. Every day, we augment our commitment to respecting, maintaining, and accountable behavior to create a culture of inclusion that promotes growth both at work and beyond.

Your Tasks:

• Help customers transition from Proof of Concept (PoC) to Production for AI workloads
• Provide insightful advice and knowledge regarding AI design, proof of concept, production, and support
• Increase the number of customers and followers by expanding the use of Azure AI
• Provide leadership in unblocking AI customers in partnership with Microsoft participants
• Improve the product and influence the roadmap through technical knowledge
• Enhance technical intensity of AI in the field through upskilling and sharing best practices

Other: Emulate our culture and values while maintaining a minimum of qualifications Bachelor's degree in computer science, Information Technology, Engineering, Business, or another field that is consistent with our culture and values, plus a proven history of using cloud-based technologies, information technology (IT) support, systems administration, network operations, software development, technology solutions, practice development, architecture, or other fields.

Requirements and Preferences:

1. Years of proven experience in technical delivery with enterprise scale, including AI and Machine Learning
2. Experience in creating AI-based Proof of Concepts (POCs) and minimum viable products (MVPs)
3. Technical breadth of experience and knowledge including cloud application deployments, architecture design, and creating deployable solutions for the enterprise
4. Technical Certification in Cloud services (e.g., Azure, Global Recruitment Web Services, Google, security licenses)
5. Presentation and communication abilities with important audiences