Technology Specialists
vor 2 Wochen
This role sits in our Global Black Belt (GBB) organization, which is a team of highly specialized & 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.
**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.
- 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.
- 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. This also includes sharing the best practices for AI App Development and producing AI App prototypes to accelerate value.
**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 Breadth and Depth**
- ** Familiar with DevOps** and version control tools such as Git and be able to write and debug code. Additionally, a modern full stack developer should be experienced in using Microsoft Azure
- ** Knowledge of **Front-end development technologies **including HTML, CSS, JavaScript, AJAX, React, Angular, and Vue.
- ** Knowledge of **Back-end development technologies **including Node.js, Python, and databases such as Cosmos DB, PostgreSQL, MySQL and MongoDB. Additionally, a modern full stack developer should be familiar with best practices in software development, such as Agile, SOLID principles, test-driven development (TDD), and object-oriented programming (OOP).
**Professional Experience**
- ** Addressing Industry scenarios with technology**: Demonstrated effectiveness in landing technology scenarios in industry-relevant ways and credibility to lead and influence niche industry conversations.
- ** Competitive Landscape**: Understanding of Microsoft's AI technologies relative to ma
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