Entry Level Cloud Solution Architect

With more than 45,000 employees and partners worldwide, the Microsoft Customer and Partner Solutions (MCAPS) 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 Customer & Commercial Success (C&CS) organization, an organization within MCAPS, 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.

Support for Mission Critical (SfMC) is the team Microsoft’s most critical customers rely on when failure is not an option.

We are looking for a Cloud Solution Architect (CSA) to join the Mission Critical team, working alongside our sr architects on the repeatable intellectual property they deliver to those customers. Your focus is making that IP better: integrating AI so each delivery takes less effort, sharpening the risks it exposes, and making what the customer receives clearer and more useful. The work spans reliability and operational readiness, AI behavior drift and integrity, operational controls, consumption and unit cost, and output quality. During your ramp, you are not accountable for customer delivery; your customer exposure is structured observation alongside sr architects, which is how you build toward customer readiness.

This opportunity will allow you to develop deep hands-on skills in AI and Azure engineering, learn how repeatable IP is designed, tested and shipped to a global delivery team, and build the technical judgment that leads to Mission Critical customer work. This role is 100% onsite at a Microsoft office.

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. 

#Nebula

With direct coaching and guidance from more experienced peers:

• Improve the repeatable IP our architects already deliver: integrate AI so each delivery takes less effort, sharpen the risks it exposes, and make the customer-facing output clearer and more actionable.

• Turn field feedback into improvements: reproduce the reported problem in a lab, make the correction, write the check that proves it is fixed, and record what changed and why.

• Build and test the automation, queries, prompts, agents and templates that let a deliverable be executed consistently by many architects rather than rebuilt each time.

• Run the defined analysis behind a deliverable, such as behavior drift and integrity baselines, consumption and unit cost, or output quality scoring, validate the result against the documented method, and escalate anything that looks wrong.

• Write the material that makes IP usable by someone else: delivery guides, runbooks, worked examples, test data and acceptance checks.

• Act as customer zero for our own AI tooling and agents, stress-testing them internally before they are used in any customer environment, and reporting what breaks.

• Build Mission Critical, Azure and AI platform depth through structured onboarding, accreditation, teach backs and supervised observation of sr architect delivery, incorporating coaching feedback as you progress toward customer readiness.

• Builds familiarity around how to execute work in compliance with industry and Microsoft guidelines and procedures

Required Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field OR equivalent experience.

Preferred Qualifications 

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field OR equivalent experience

• Technology Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)

• Hands-on experience in AI technologies

In addition

• Good written and verbal communication skills.

• Ability to follow a documented method precisely, and to say so clearly when it does not fit what you are seeing.

• Curiosity to take something apart to understand it, and the discipline to write down what you learned.

• Willingness to work in an in-office setting.

• Support a positive, inclusive, and customer-focused team culture.