Cloud Solution Architect
3 weeks ago
At Microsoft, we're committed to empowering every person and organization on the planet to achieve more. As a Cloud Solution Architect aligned to the Azure AI platform, you'll play a critical role in helping our customers achieve their business outcomes faster with technology that does more.
ResponsibilitiesAs a Cloud Solution Architect, you'll be responsible for:
- Enabling customers to achieve their outcomes based on their investments in Microsoft technology
- Leveraging your Microsoft Azure Artificial Intelligence (AI) and Machine Learning (ML) technical subject matter expertise to lead technical conversations with customers and Microsoft colleagues
- Driving value to customers' organizations through the design and implementation of AI solutions
- Accelerating customer adoption by building Generative AI solutions and identifying resolutions to unblock customer success projects
- Driving product influence with Engineering through technical feedback and increasing technical intensity with the Field teams
To be successful in this role, you'll need:
- Bachelor's degree in computer science, Information Technology, Engineering, Business or related field AND 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
- Domain Expertise in Azure AI Areas: Deep domain expertise in one of the Azure AI specific areas, such as Cognitive Services, Machine Learning, Azure OpenAI and CoPilot OR hands-on experience working with the respective products at the expert level
- Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following:
- Core AI & ML Concepts: Familiarity with AI & ML foundational knowledge of concepts like Prompt Engineering, compute systems (GPU & FPGA), popular frameworks (TensorFlow & PyTorch), and tools (Jupyter notebooks & VS Code)
- Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets. Understanding of Responsible AI practice including ethical considerations, bias mitigation, and fairness
- Architecting Enterprise-Grade Solutions: The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
- Proven experience building enterprise-grade, AI-focused solutions on the cloud (Azure, AWS, GCP) for customers, from Minimum Viable Products (MVPs) leading to production deployments
- Programming Languages and Integration: Proficient with Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Kubernetes, Docker, API Management)
- DevOps and MLOps: Strong understanding of DevOps practices and CI/CD tool chains, and familiarity with MLOps (AI & ML lifecycle management) for sustainable enterprise grade deployments
- Competitive Landscape: Understanding the competitive landscape is valuable, candidates should be aware of key AI platforms beyond Azure, such as AWS and GCP. Knowledge of the AI open-source ecosystem
As a Cloud Solution Architect at Microsoft, you'll have the opportunity to work on cutting-edge AI solutions, collaborate with a talented team of experts, and contribute to the development of innovative technologies. We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.
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