Senior Customer Engineer

Every minute of every day, customers stake their entire business and reputation on the Microsoft Cloud. The Azure Customer Experience (CXP) team believes that when we meet our high standards for quality and reliability, our customers win. If we falter, our customers fail their end-customers. Our vision is to turn Microsoft Cloud customers into fans.

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 onboard to Azure and getting 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 Senior Customer Engineer in the Americas Data & Artificial Intelligence (AI) Customer Engineering team, you'll guide Microsoft customers on their journey to embrace AI and Machine Learning (ML), 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 AI and ML, 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.

Required Qualifications:

• Bachelor's Degree in Engineering, Computer Science, or related field AND 4+ years experience in software industry experience related to technology

o OR equivalent experience.

• 3+ years of experience with widely used programming languages in AI such as Python and popular libraries/frameworks.
• 4+ years of experience building or leveraging AI and ML solutions and developing applications utilizing AI frameworks and methods.
• 4+ years of experience collaborating with customers in an implementation, or solution design role, delivering proof of concepts or production deployments.

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 8+ years software industry experience related to technology

o OR Master's Degree in Engineering, or related field AND 6+ years software industry experience related to technology

o OR equivalent experience.

• 2+ years customer facing experience.
• ⁠6+ years in a technical solution architect or customer engineer role in a customer-facing capacity.
• 3+ years of experience designing analytics solutions, including components such as data integration, data storage, data visualization, and predictive modeling.

Customer Experience Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 12, 2024 .

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

•  Drive customers in implementing Artificial Intelligence (AI) & Machine Learning (ML) 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 AI & ML, helping customers understand the potential and limitations of various models and techniques, 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, 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