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As a Solution Specialist specializing in Artificial Intelligence (AI), you will be a technical solution expert within our worldwide AI commercial solution area organization working with strategic customers to help establish their AI Strategy, prioritizing key use cases that drive differentiated business outcomes. You will share Microsoft’s AI capabilities, roadmap and envision with customers how AI can transform and drive co-innovation in their business. You collaborate with a team of deep technical experts to build solutions that orchestrate large language models, Azure OpenAI services, vision, speech, machine learning using modern app development principles. You will work closely with customers in workshops to identify and prioritize use cases, design and build rapid prototypes and support minimum viable product (MVP) solution design to production deployment. You will be joining a team of highly skilled experts across the company who are driving some of the most strategic and innovative customer AI projects.

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.  

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.

Microsoft Global Black Belt 조직 내 Azure AI 및 Azure OpenAI Solution Specialist는 생성형 AI 도입을 통해 경쟁 우위를 확보하려는 기업 고객의 다양한 이해관계자들과 일하는 고객 Facing Role입니다. Azure AI(Languages, Vision, Search 등)와 Azure OpenAI 서비스를 활용한 고객의 생성형 AI 도입 로드맵을 설계하며, 여러 MVP 개발 및 적용을 통해 로드맵 실행을 지원하는 등 Technical Thought Leadership이 필수적으로 요구되는 Role이기도 합니다. AI Infrastructure부터 Foundation Model, Tool Chain 등을 Azure상에서 End-to-End로 제공하는 Microsoft를 많은 고객이 전략적 파트너로 선정함에 따라 추가적으로 시니어 레벨 채용을 진행합니다.

Responsibilities

• Win new AI engagements by providing deep solution expertise and business value, delivered via customer workshops (1:1, 1: many) creating commitment for minimumviable products (MVPs). These MVPs enable business and technical decision makers to leverage and build AI powered applications using Azure Machine Learning, Azure AI Services including Open AI models, and Azure Applied AI services (Approx. 50% of your time)

• Increase customer value in targeted accounts, enabling AI engagements by demonstrating technical depth and solution expertise. You will leverage a portfolio of suggested use cases in targeted scenarios, including best practices for industry application, solution value and specialized co-sell solutions, all of which help to accelerate time to market and customer’s digital transformation. (Approx 30% of your time)

• Build and Enable solution selling expertise across mainstream sellers, being a trusted coach and model seller, leading with a technical solution sales approach, orchestrating partners, engineering, and championing the voice of customer, partner and field to global stakeholders. (Approx. 20% of your time)  

한국 Microsoft의 영업 조직, Data & AI Specialist 조직, 그리고 Deep Hands-On Experience를 보유한 GBB 내 Technical Specialist와의 유기적인 협업을 통해 새로운 Azure AI 및 Azure OpenAI 파이프라인을 발굴하고, Deal을 성사시키며, 기존 고객이 기대하는 비즈니스 효용을 실현하고 Azure OpenAI 등 솔루션 적용 영역을 확장할 수 있도록 지원하는 역할을 담당하게 될 예정입니다. 또한, 글로벌 팀과의 협업을 통해 Solution Accelerators 개발과 고객의 의견을 Product Roadmap에 반영하는 역할 역시 수행하게 됩니다.

Growth Mindset을 가지고 계시다면, 그리고 고객이 가장 신뢰하는 글로벌 기술 기업에서 꾸준한 성장 기회를 중요하게 생각하신다면, 위 모든 자격 요건을 충족하지 않더라도 해당 포지션에 꼭 지원하시길 추천드립니다.

Qualifications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field

• 7+ years of technology-related pre-sales or account management experience

• AI Experience : 3+ years of AI (Machine Learning, Intelligent Apps/Agents, Search, LLM/SLM) selling/consulting experience in enterprise public cloud-based solutions.

   

Additional or Preferred Qualifications

• 4+ years of experience in enterprise solution selling & consulting. This includes stakeholder management, deep solution expertise, building credibility with a technical audience, Cxo communications, solution envisioning, and orchestration of a large, matrixed internal team.

• Experience with building AI(LLM/SLM) and machine learning solutions, Machine Learning Operation frameworks, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).

• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.

• Strong understanding of a typical AI, ML & App dev lifecycle and associated operations (Dev Ops, MLOps) for sustainable enterprise installations of cloud architecture

• Familiarity with core machine learning concepts (ex: compute systems - GPU & FPGA, frameworks - TensorFlow & PyTorch, tools - Jupyter notebooks & VS Code, MLOps techniques etc.)

• Experience with Responsible AI, in practice or theory.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .