Microsoft Principal Customer Experience Engineer 

United States, Washington 

923743809

Are you a customer-obsessed, AI/ML engineering leader who thrives in an inclusive, collaborative global team? The Azure Customer Experience (CXP) team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work.

Principal Customer Experience Engineer in Azure CXP Growth & Innovation, you will directly engage with Software companies & Start-ups to translate their business requirements into secure,and reliable solutions using Microsoft Azure AI, ML & Data services.work across a range of scenarios including cloud-native solutions, single-tenant solutions transforming into multi-tenant solutions, and solutions migrating to Azure from premises or competitive clouds. We are driven by the customer’s choice; you will be responsible to help and guide the customers to extract value from Microsoft Azure services, third party services, and open-source technologies. This opportunity will allow you to drive and influence customer experiences that unlock emerging opportunities and hyper growth for Microsoft Cloud to transform customers into fans. This position allows up to 100% work from home.

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 Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+years experienceusing Azure andlarge scalecloud A.I. and Machine Learning Services, such as Azure Machine Learning, Azure A.I. Studio, Azure Databricks or Prompt Flow.
• 3+ years hands on experience with classical machine learning and or data science solutions.
• Understanding of end-to-end A.I. & ML best practices to build,operateand maintain large scale, resilient multi-tenant solutions such as High Availability, Tenant Isolation, Performance Optimization and BCDR.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's degree or PhD in Computer Science, Engineering, Mathematics, or a related field.
• Experience with AzureData & Analyticsservices and solutions, such asFabric, Synapse, Databricks, Data Factory, Batch etc.
• Experience with Kubernetes, Docker, and microservices architectures.
• Results driven and adaptable, thrives in a fast-paced ambiguous environment, and enjoys working with customers.
• Deep understanding of different capabilities from classic machine learning to the latestgenAIcapabilities: LLMs, SLMs & RAG based patterns.Should have knowledge in resilient, scalable workloads andoperatingthose in production.
• Knowledge of AI & ML applications and solutions from fully custom industrial to more common out of the box and the integration of thevarious typesto achieve results.
• Foundational machine learning and data science skill sets such as understanding core data science practices, fundamental machine learning models & concepts andleveragingthose in a team environment.

Customer Experience Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Relocation support is not provided.

• Engage with customers and partners to understand their business goals, technical requirements, pain pointsand help unblock themrunning theirAI & MLworkloads on Azurefollowing best practicessuch as WAF.

• and Microsoftto providecustomerfeedback, influence product roadmapand drive early adoption of products.

• Lead andparticipatein code reviews, design reviews, and architecture discussions

• Provide technical guidance and mentorship to other engineers in the team and across CXP

• Stay abreast of the latest Azure technologies, trends, and best practices

• Author and publish scale assets such as blog articles,open sourcedsamples, videos etc.
• Interact with other Microsoft engineers to provide technical action plans and take ownership of escalations. Partner with various Azure engineering domain experts to scope and build modules,toolsand proof of concepts.
• Collaborate with the relevant product and business groups on how customers use the product.Understands andidentifygaps in customer scenarios and product limitations. Provides details to the product and business groups on customer product experience and usage. With minimal supervision,actsas a voice of customers (VOCs) to inform product and business groups on customer product experience and usage.
• Embody our