Principal Customer Experience Engineer

At Microsoft, we’re on a mission to empower every person and every organization on the planet to achieve more. As the Azure CXP team, our 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 growth mindset and culture of inclusion are central to who we are and how we work. Every day, our customers stake their business and reputation on our cloud. You can help us provide our customers with the world-class cloud services they need to succeed. 

We are the FastTrack for Azure Engineering (FTA) team - a fast growing Engineering team of customer obsessed and passionate individuals that drive positive customer outcomes and experiences. FastTrack for Azure is a customer success service to help customers confidently adopt Azure and get them on the right track to succeed. FastTrack Azure takes a solution-centric approach and provides customers with Engineering resources, best practices, tools, and resources that drive Azure usage.   

As a Principal Customer Experience Engineer in the Americas Data & Artificial Intelligence (AI) Customer Engineering team, you'll guide Microsoft customers on their journey to embrace Data, Analytics, and AI, helping them tackle critical business and technical challenges. In this role, you'll enable customers to achieve more with Microsoft Azure, while directly influencing the future of Microsoft products and platforms. This opportunity will allow you to accelerate your career growth, develop deep technical expertise in Data, Analytics, and AI, and contribute to the success of our customers.   

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

• Drive customers in implementing Data and Analytics workloads on Azure, by building demos, solution accelerators and guiding them through the steps to production.  
• Validate customer solution requirements to ensure they are optimized, secure, resilient, and scalable.  
• Provide deep expertise in Analytics, helping customers understand the potential and limitations of various architectures and patterns, and guiding them in selecting the most appropriate solutions for their needs.  
• Support product teams with customer-specific feedback for continuous improvement.  
• Stay current on Azure/Cloud innovations, patterns and practices, Generative AI trends, and emerging technologies to conduct experiments, drive product improvement, and act as a subject matter expert (SME) for other engineers.  
• Share knowledge through content publication to support the technical community and enterprises in leveraging Microsoft Data & AI services and building their own solutions on Azure.  

Embody our culture and values  

Qualifications

Required Qualifications:  

• Bachelor's Degree in Engineering, Computer Science, or related field AND 6+ year(s) experience in software industry or other experience related to technology  

• OR equivalent experience.  

• 5+ years of experience working in a systematic solution design role and collaborating with customers in a support, implementation role. 
• 4+ years of experience working on Azure cloud services.
• 2+ years of experience working on AI technologies.

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:   

• Bachelor's Degree in Engineering, Computer Science, or related field AND 12+ years software industry experience related to technology
  • o OR Master's Degree in Engineering, or related field AND 8+ years software industry experience r