Microsoft Corporation Cloud Solution Architect - Data Science/Artificial Intelligence #CustomerSuccess in Cologne, Germany
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Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft invests in a dedicated Customer Success team that will help Microsoft customers successfully realize their business outcomes.
Azure is the most comprehensive, innovative and flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market.
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We are looking for a highly motivated and passionate Data Science/Artificial Intelligence Cloud Solution Architect to drive high priority AI customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Microsoft Artificial Intelligence Platform in your region.
You will own Data Science / AI technical customer engagements including architectural design sessions, specific implementation projects and/or MVPs. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions and development of POCs and/or Data Science Models with senior customer executives, Enterprise Architects, Data Scientists, IT Management and Developers to drive AI solutions to production
Key responsibilities include: ·
Understand customers’ overall data estate Business and IT priorities and success measures to design AI solutions that drive business value.
Apply technical knowledge to architect and design solutions that meet business and IT needs, create AI roadmaps, drive POCs and MVPs, and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate (e.g.Azure ML, Azure Cognitive Services, Azure Bot Service, Azure Databricks, Azure Synapse, Power BI, etc.)
Working with multiple customers to createProof of concepts (POCs) / MinimumViable Products (MVPs) etc. and guiding customers through to production deployment and operationalizationofprojects
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability and reliability upondeployment
Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and AI adoption within their company to enable them to be Azure AI advocates
Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
Collaborate with other Cloud Solution Architects, Global Black Belts and MS stakeholders in developing complex end-to-end Enterprise AI solutions on Microsoft Cloud platforms.
Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the AI technical community whileeducatecustomers on Azureplatform
Be an Azure Platform evangelist with customers,partnersand external communities.
5+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of AI / ML / Data Science solutions.
Enterprise-scaletechnical experience with AI technologies (Azure Machine Learning, Azure cognitive services, Open-Source AI frameworks, Python,MLOps, cloud and hybrid infrastructures and architecture designs. Required
"Hands on" Experience creating AI Proofof Concepts, MinimumViable Products(MVPs)for customers Required
The technical aptitude and experience to learn new technologies and understand market and relevant cloudtrends Required
Competitive Landscape: Knowledge of key AI platforms such as AWS, GCP,DataRobotetc.
Partners:Understanding ofpartner ecosystems and the ability to leverage partner solutions to solve customer needs preferred
Depth / Subject Matter Expertise in two or more of the following AI Platform Cloud solutions required
MachineLearning includingAzure ML, ML Server, Azure Databricks
Artificial IntelligenceincludingBOT framework, Cognitive Services, Cognitive Search
Breadth of technical experience and knowledge advantageous, with
Experience in big data workloads like HDInsight, Hadoop, Spark,
Advanced Analytics including Azure Data Bricks, visualizationtoolsasPowerBI,Tableau
Relationship Building. Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus onsolution/projects.The ability to influence and buildrelationships across technical and business teams Required
Good business acumen to quickly understand the customer’s industry and business to have relevant discussions with business decision makers.
Good understanding of key AI scenarios that are driving innovation in key industries such as Financial services, Retail, Healthcare etc.
Problem Solving. Ability to solve customer’s AI problems through various cloud technologies Required
Collaboration and Communication . Acknowledged for driving decisions collaboratively, ability to communicate AI concepts effectively withbusienss, data science and technical audiences, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management, Data Scientists, Engineers) Required
Bachelor's degree in Computer Science, Data Science, Information Technology,Engineeror related field preferred
Certification in one or more of the following technologies preferred: Data Science, Machine Learning, Artificial Intelligence
Fluent English required, German skills are a plus
Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, Google, IBM,etcdesired
Prior solution delivery experience in AI specialized solution providers
Travel required: 0-25%
Re-location would be accommodated for qualified candidates
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 (https://careers.microsoft.com/us/en/accommodationrequest) .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.