Sr Cloud Solution Architect

With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.

We are looking for a Senior Cloud Solution Architect (CSA), specializing in Data and Analytics & AI, who is passionate about driving our customers’ transformation on Microsoft Azure. This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements

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.

Responsibilities

• You will understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.
• You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.
• You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).
• You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where
• You will be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
• You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.
• You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications.

Qualifications

Qualifications

Required/minimum qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 6+ 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
• 6+ years’ experience working in a customer-facing role, working with executives and managing various stakeholders (e.g., executives, data science/analytics teams, IT managers).

Additional or preferred qualifications

• Experience in designing, deploying, and managing Azure AI Foundry, Microsoft Fabric, Azure Databricks to ensure secure, scalable, and efficient project delivery.
• Experience with Spark and Databricks is preferred.
• Experience in integrating disparate data systems and ensuring seamless data flow between systems and application
• Experience in data modelling, data warehouses, and database design
• Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms
• Breadth of technical experience and knowledge in Deep AI, GenAI and ML.
• Experience with at least one of the following programming languages: Python, R, Scala, or Java.
• Familiarity with DevOps for AI and ML and end-to-end ML pipeline management.
• Understanding of Large Language Models (LLMs), transformers, and fine-tuning techniques.
• Experience in ML model selection, inference optimization, and retrieval-augmented generation (RAG).
• Knowledge of AI safety, bias mitigation, and compliance frameworks.
• Familiarity in vector databases and LLM caching mechanisms,
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.