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Cloud Solution Architect - Analytics and AI Microsoft
Chevy Chase, MD


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About Microsoft

Job Description

You will own the Professional services related Advanced Analytics and Artificial Intelligence technical customer engagements including: architectural design sessions, specific implementation projects and/or Pilots. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Advanced Analytics and Artificial Intelligence solutions.

Experiences Required: Education, Key Experiences, Knowledge and Skills:

* Technical Degree: min of Bachelors in Computer Science or adjacent fields

Deep understanding of Microsoft AI and data platform technologies, BI technologies, with the technical aptitude and experience to learn new technologies and understand relevant cloud trends
* Breadth of technical experience and knowledge, with depth in two or more of the following areas: Business Intelligence, Big Data, Data Governance, Data Science, Machine Learning, Artificial Intelligence
* 3+ years of success in consultative/complex technical sales and deployment projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects) required
* Proven track record of building deep technical relationships with senior IT executives and growing data services in large or highly strategic accounts
* Prior work experience in a Consulting/Architecture position
* Travel required: 0-40%
* This role can be located in Boston, New York, New Jersey, Washington, DC, Philadelphia, Tampa, or Seattle Area



Key responsibilities include:

* Understand customers' overall data estate, IT and business priorities and success measures to design implementation architectures and solutions (Microsoft and 3rd party solutions) using advanced analytics and artificial intelligence
* Well versed with Data Sciences, Machine learning and Deep Learning based solutions and frameworks. Apply technical knowledge to architect solutions that meet business and IT needs, create AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure Machine Learning, Machine Learning Server, BOT framework, Cognitive Services, Azure Databricks, etc.)
* Increase consumption of solutions including SQL Database, Document DB, SQL Data Warehouse, HD Insight, Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs.
* Deep focus on Data/IoT related Azure services including: Analytics, Data + Storage (Sl Dtabase, Document DB, MySQL Database, Data Warehouse, SQL Server Stretch Database, Azure Search, Service Bus, SQL Vs, Orcle VMs, Biztalk VMs.
* Be an Azure Platform evangelist with customers, partners and external communities

About Microsoft


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