Technology Specialists AI Application Development.. at Microsoft

Overview

• As a Technology Specialist specializing in AI Application Development, you will be a technical solution expert within our worldwide Artificial Intelligence (AI) commercial solution area organization working with strategic customers on developing AI projects. You will accelerate and scale Microsoft’s share of the AI market leveraging the latest front and back-end development technologies to implement Azure AI, Azure Cognitive Services and Azure ML led solutions within prototype applications. The primary objective is to support our AI Specialists with prototyping and developing AI-powered application experience to demonstrate the value of AI within customer organizations and win the technical decision for progressing to production initiatives. You will combine the power of the Azure Data and Apps portfolio with Azure AI to rapidly demonstrate the value building these AI solutions on Azure. Specifically, you will focus on developing proof of concept applications leveraging Cognitive Services and the Azure OpenAI Services. You’ll create Generative AI-powered applications that are enhanced by the broader AI portfolio, with the goal of demonstrating the value of a business use case for your customers.  
• This role sits in our Global Black Belt (GBB) organization, which is a team of highly specialized and technical professionals within our Microsoft Customer & Partner Solutions organization (MCAPS) who work with customers to enable some of the most complex and innovative solutions, providing differentiated technical leadership and guidance along the way. The AI team within the GBB organization consists of Specialist and Technology experts, who focus on specific domains, industries, and workloads, such as Azure OpenAI Service, Azure AI Services, Application Development and Machine Learning.    
• This role will require travel to customer sites.  
• 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. 

Qualifications
Required/Minimum Qualifications: 

• 8+ years of technical pre-sales or technical consulting experience
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years of technical pre-sales or technical consulting experience
• OR Master's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
• OR equivalent experience.
• AI Experience: 3+ years of Full stack development selling experience in enterprise public cloud-based solutions. Technical expert on AI/Cognitive Services.
• Solution Consulting Experience: 3+ years in customer-facing advisory or pre-sales to demonstrate ability to distill core technical concepts and connect them to business outcomes. 

Additional or Preferred Qualifications: 

• Experience and skills with Azure Application and AI services.
• Knowledge of consuming large language model (LLM) and Foundational model APIs.
• Knowledge of the App open-source ecosystem.
• Certifications with Azure Application Services or equivalent industry certifications preferred. 

Technical experience:

• Knowledge of full stack application development technologies with strong skills in both front-end and back-end development, including web development, databases, system architecture, cloud technology, API development and integration, and software engineering. 
• Familiar with DevOps and version control tools such as Git and able to write and debug code.  Additionally, a modern full stack developer should be experienced in using Microsoft Azure.
• Azure AI App development experience includes integrating API-accessible Cognitive Services and Large Language Models APIs (Hugging Face, Azure OpenAI Service) into application workflows and prompt engineering development to create unique experiences.