Job Description :
Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.
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,innovativeand flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market.
We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other’s ideas because we are better together. We stand in awe of what humans dare to achieve and are motivated every day to empower others to do more and achieve more through our technology and innovation. Together we make a difference.
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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 betweencustomerand Microsoft Artificial Intelligence Platformin 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 ScienceModels withsenior customer executives, Enterprise Architects, DataScientists, ITManagement and Developers to drive AI solutions toproductionKey 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 create Proof of concepts (POCs) / Minimum Viable Products (MVPs) etc. and guiding customers through to production deployment and operationalization ofprojectsEnsure 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.experiences required: education, key experiences, knowledge and skills:professional experience.
5+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of ai / ml / data science solutions. technical
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 proof of concepts, minimum viable products (mvps) for customers the technical aptitude and experience to learn new technologies and understand market and relevant cloudtrendscompetitive landscape: knowledge of key ai platforms such as aws, gcp,datarobotetcpartners:understanding ofpartner ecosystems and the ability to leverage partner solutions to solve customer needspreferreddepth / subject matter expertise in two or more of the following ai platform cloud solutionsrequireddata governancedata engineeringdata sciencemachinelearning includingazure ml, ml server, azure databricksartificial 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,tableaucommunication
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 teamsrequiredgood 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 technologiesrequired 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)requirededucation
bachelor's degree in computer science, data science, information technology,engineeror related field preferredcertification in one or more of the following technologies preferred: data science, machine learning, artificial intelligenceexperience
prior work experience in a consulting/architecture position within a software and/or services company such as amazon, google, ibm,etcdesiredprior solution delivery experience in ai specialized solution providers
travel required: 0-25%
re-location would be accommodated for qualifiedcandidates