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.
The Global Customer Success (GCS) organization, an organization within CE&S, is leading the effort to enable customer success on the Microsoft Cloud by harnessing leading, AI-powered capabilities and human expertise to deliver innovation solutions that accelerate business value, drive operational excellence and nurture long term loyalty.
We are looking to hire hands-on Cloud Solution Architect (CSA) to join our diverse, talented, high performance, and innovative Technical Success team within the AI Apps & Agents focus area. The position is deeply technical and highly solution focused with unique opportunities to work on the most challenging and exciting projects within Microsoft, as well as providing an opportunity to drive feedback into core Microsoft products to help improve our platforms.
CSAs are senior individual contributors who operate globally and engage directly with customers. It is a hands-on technical role spanning across design, build, and production with a focus on issue resolution to remove customer production blockers.
CSA's 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.
A Cloud Solution Architect (CSA) within the Technical Success team focused on AI Apps & Agents will be responsible for:
Customer-Centric Approach:
Understand customers' AI transformation business priorities and success measures.
Innovate with AI Application solutions that drive business value.
Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.
Business Impact:
Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments. Curate and produce high quality guidance for our internal and external communities and customers.
Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
Build repeatable IP and assets that create velocity in deployment and drive customer value from their Unified investment. Continuously look to improve upon these assets utilizing the best of field inputs.
Architect AI Applications & Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
Technical Leadership:
Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and influence product improvements, roadmap and feature prioritization.
Continuous Learning:
Stay updated on market trends, collaborate with the AI technical community, and educate customers about the Azure AI platform.
Accelerate Outcomes: Through engaging with field teams, share expertise, contribute to IP creation, and promote reusability to accelerate customer success, as well as collate feedback on assets to drive improvement and leverage field teams inputs.
Culture & Values
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Embody and promote Microsoft’s culture and values.
Required/minimum qualifications:
Other Requirements: Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
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.
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4+ years experience working in a customer-facing role (e.g., internal and/or external).
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4+ years experience working on technical projects.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Additionally:
Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth and/or Subject Matter Expertise in one or more of the following:
Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Machine Learning, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level.
Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Kubernetes, Docker, API Management).
Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments.
Strong understanding of DevOps practices and CI/CD tool chains, and familiarity with MLOps (AI & ML lifecycle management) for sustainable enterprise grade deployments.
Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, compute systems (GPU & FPGA), popular frameworks (TensorFlow & PyTorch), and tools (Jupyter notebooks & VS Code).
Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, LLMs) and Foundational models toolsets. Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness.
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
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.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.