AI Cloud Solution Architect

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With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

As a Cloud Solution Architect (CSA) for AI, you will support customers through their AI transformation journey, combining deep technical expertise in both AI-powered business solutions and AI application development. You will guide customers on solution envisioning, design & deployment, through direct customer engagements, as well as designing and creating repeatable customer-facing services to scale the delivery capability through Success Programs. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your solution architecture skills, and become adept at driving real-world outcomes.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required/minimum qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• 4+ years of experience in a technical leadership or implementation role, delivering projects that leverage at least one of the following Microsoft AI platforms:
  • Azure AI Foundry, Azure Machine Learning, Azure Cognitive Services, Azure OpenAI Service
  • Azure AI Search, Azure Applied AI Services
  • Microsoft 365 Copilot, Copilot Studio
  • Dynamics 365 Copilot, Power Platform AI
  • GitHub Copilot

Other Requirements​

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Additional or preferred qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• 4+ years experience working in a customer-facing role (e.g., internal and/or external).
• 4+ years experience leading technical projects.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications) AND AI & data certifications like Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.
• Experience - Designing and deploying scalable AI applications using Azure AI Foundry, Azure OpenAI, Azure AI Search OR solutions based on Copilot Studio.
• Experience with Natural Language Processing (NLP), Neural Networks & Deep Learning, supervised or unsupervised machine learning technique, Computer Vision
• Experience with software development, data engineering, AI solution architecture, DevOps practices, containerization, and microservices architecture

Cloud Solution Architecture IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 23, 2025.

#CES #GCS

• Act as the technical service leader and technical owner across the entire lifecycle of Success Program services focused on Microsoft AI solutions. This includes aligning service architecture and design with business priorities and requirements, orchestrating build and deployment, managing updates, and supporting change adoption.
• Demonstrate thought leadership and subject matter expertise across one or more AI service components, developing IP, influencing design and delivery quality, and enabling others through strategic guidance
• Lead technical engagements across design, build, and operations, removing blockers and accelerating adoption of Azure AI Foundry, Azure Machine Learning, Azure Cognitive Services, Azure OpenAI Service, Microsoft 365 Copilot, Dynamics 365 Copilot, Power Platform AI, GitHub Copilot, and data platforms.
• Drive positive Customer Satisfaction and become a trusted advisor, providing feedback & insights from customers/partners as you develop and expand impactful relationships with customer and partner architects, C-level Technical Decision Makers (TDMs), and business stakeholders.
• Provide direction to TDMs and build the bridge between TDMs and Business Decision Makers (BDMs).
• Develop opportunities to drive Customer Success business results and help Customers get value from their Microsoft investments.
• Support team technical skilling on Microsoft AI platforms based on area demands & Customer Success goals, share expertise in relevant communities, contribute to IP creation & reuse, and connect gaps and patterns across business and technology areas.
• Partner with other CSAs, CSAMs, and Product Groups to drive unified delivery and technical excellence.

Other

Embody our culture and values.