Overview: As a Technical Sales Specialist - AI App Dev, you will be a member of the Global Black Belt (GBB) team, working as a Technology Specialist specializing in AI Application Development. You will be a technical solution expert within our worldwide 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.
Responsibilities:
- Winning new AI App development engagements via solution expertise proving technical and business value via workshops (1:1, 1: many) that drive commitment for minimum viable product (MVP) for business and technical decision makers showcasing integration of AI into custom development apps and existing systems.
- Work with the solution specialist team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Provide in-depth AI expertise to support the technical relationship with Azure customers, including product and solution briefings, creating demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Azure AI Services.
- Design application architectural requirements and develop prototypes for prioritized AI use cases.
- Evaluate and select Cloud Native and Power Platform low code options for front and backend technologies.
- Define app scalability and capacity design: RPM, concurrency, performance, data security and privacy.
- Integrate Azure AI APIs and machine learning endpoints into app workflows and app + data solution architectures.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Azure AI.
- Be a trusted advisor to our customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Azure AI optimized infrastructure.
- Demonstrate how Azure AI is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and benchmarking.
- Influence Azure AI strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements in engineering feedback forums.
- Consultative Engagement - Engages in conversation with customers and collaborates with account and partner teams to drive and qualify new opportunities.
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