Cloud Solution Architecture - Data & Ai Milano

Cloud Solution Architecture - Data & Ai
Milano
Lombardia, Milano

We are looking for a highly motivated and passionate Data Platform & Artificial Intelligence Cloud Solution Architect to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business.

This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

With over 18, 000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience.

Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.

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**:

- Customer Centricity

- Understand customers' overall data estate Business and IT priorities and success measures** to design Data & Analytics solutions** that drive business value

- Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor

- Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment

- Customer/Partner Insights - Providefeedback & insights from customers/partners

- Business Impact

- Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments

- Technical Leadership

- Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements

- Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform

- Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes

**Qualifications**:

- Bachelor's degree in computer science, Information Technology, Engineering, Business or related field AND substantial experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting

- OR equivalent experience

- Business Value: The ability to convey the business need and value of proposed solutions, plans, and risks to stakeholders and decision makers.

This includes the ability to persuade and inform based on facts and alignment with goals and strategy

- Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e. g. , technical decision makers, business decision makers) through an understanding of customer needs and technologies.

- Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room.

"

- Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said

- Technical: Expertise in one or more of the following:

- Experience in delivering large-scale Azure AI Services projects, such as Azure OpenAI, Azure AI Search, Azure Speech, Azure Machine Learning (or equivalent), Generative AI, LLM customization, NLP, MLOps, Evaluation Metrics, Open-source AI frameworks, AI Infrastructure, architecture design.

- Experience creating Data&AI Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments.

- Competitive Landscape: Knowledge of key Data & AI platforms such as AWS, GCP, etc.

- Software development practices like DevOps and CI/CD tool chains (i. e. , Jenkins, Azure Developer Services, GitHub) and container orchestration systems (i. e. , Docker, Kubernetes, Cloud Foundry, Azure Kubernetes Service, GitHub)