Cloud Solution Architect - Cloud & AI Platforms (CAIP) Factory

Microsoft

8h • $106,400 - $203,600

About The Position

We are looking to hire a hands-on Cloud Solution Architect (CSA) to join our diverse, talented, high performance, and innovative team, focused on driving Azure Infrastructure and Azure Application Migrations via the Cloud Accelerate Factory. The Cloud Acceleration Factory is best suited for individuals that are highly technical, solution focused and have a passion for Project Management. The Cloud Acceleration Factory provides opportunity to drive feedback into Microsoft’s core product teams to help improve our platform. CSAs are senior individual contributors who operate globally and engage directly with customers. It is a hands-on technical and governance role spanning across design, build, and production. Candidates are expected to comfortably switch from a whiteboard to the keyboard. This is a truly exciting role that will feature unique and challenging technical problems to solve and to help our customers succeed. 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.

Requirements

• 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.
• Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Nice To Haves

• 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 working on technical projects.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
• Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following:
• Deep Expertise in Databases including SQL, Oracle and more.
• Deep Domain Expertise in Azure Application Migrations Areas: Domain expertise in one of the Azure Infrastructure and Azure Application Migrations specific areas OR hands-on experience working with the respective products at the expert level.
• Architecting Enterprise-Grade Solutions: The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc. Proven experience building enterprise-grade, Azure Infrastructure and Azure Application -focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments.
• Infrastructure as Code (IaC) Deployment: Understanding of Bicep, Terraform, or Azure Resource Manager and familiarity with configuration and deployment of IaC templates in a secure environment.
• Core AI & ML Concepts: Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, tools (Jupyter notebooks & VS Code).
• Agentic Workflows: Familiarity with Semantic Kernel, MCP, Langchain, or other agentic frameworks. Ability to configure tools for dynamic execution by an LLM
• Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets.
• Competitive Landscape: Understanding the competitive landscape is valuable, candidates should be aware of key AI platforms beyond Azure, such as AWS and GCP. Knowledge of the AI open-source ecosystem

Responsibilities

• Play a pivotal role in the Azure Infrastructure and Azure Application Migrations Factory, providing technical enablement, operational support, and strategic engagement across customer projects. This role is designed to ensure successful delivery of AI solutions, troubleshoot complex issues, and support innovation through pilot evaluations and advanced use case development.
• Understand customers' overall data estate, business priorities, and IT success measures. Innovate with AI solutions that drive business value.
• Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units.
• Attend in-flight project status meetings to monitor progress and identify support needs.
• Engage directly with complex or non-standard customer use cases beyond existing accelerators.
• Participate in intake reviews for milestone sizing, objection handling, and technical scoping.
• Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment.
• Gather insights from customers and partners.
• Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
• Understanding of consumption metrics and their reflection on program effectiveness. Ability to collaborate with local teams for nominations and intake support.
• Leverage subject matter expertise to identify resolutions for customer blockers.
• Follow best practices and utilize repeatable IP.
• Identify and contribute repeatable IP and assets that create velocity in deployment and drives customer value from their Unified investment.
• Continuously look to improve upon these assets utilizing the best of field inputs.
• Evaluate pilot opportunities for potential integration into existing offerings.
• Apply technical knowledge to design solutions aligned with business and IT needs.
• Create Innovate with Azure Infrastructure and Azure Application Migrations roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
• Share insights and best practices, collaborate with the Factory team to address key blockers, and influence improvements, roadmap and feature prioritization.
• Debug technical issues and provide fixes for engagements encountering blockers.
• Stay updated on market trends, collaborate with the Analytics & AI technical community, and educate customers about the Azure AI platform.
• Through engaging with field teams, share expertise, drive factory pipeline, and promote Factory to accelerate customer success, as well as collate feedback upon execution to drive improvement and leverage field teams inputs.

Benefits

• Certain roles may be eligible for benefits and other compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior