Senior AI Architect @ Microsoft
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Job Details
Overview
Microsoft is seeking a highly motivated, passionate, and customer centric Senior AI Architect. In this hands-on, customer facing technical role, you will leverage deep expertise in AI and Machine Learning, primarily using Python, to design, develop, and deploy end-to-end AI solutions.
Responsibilities
The role focuses on designing robust, scalable AI/ML solutions. You will:
- Lead hands-on design and development primarily using Python.
- Engage with enterprise customers to architect AI-driven solutions leveraging Azure AI services.
- Translate complex requirements into well-engineered technical solutions.
- Develop rapid prototypes with data ingestion, processing, and model deployment using Azure components.
- Integrate AI solutions with full-stack architectures using JavaScript frameworks or .NET ecosystems.
- Establish CI/CD and MLOps pipelines with Azure DevOps and GitHub.
- Explore diverse datasets to engineer novel features for improved ML performance.
- Participate in all phases of the model lifecycle from conceptualization to continuous improvement.
Qualifications
The ideal candidate will have a Master’s degree in Machine Learning, Data Science, or AI plus a minimum of 10+ years of experience. Mandatory experience includes hands-on Python development and proven success in cloud-native AI projects on Azure.
Preferred Qualifications
Additional software development experience in JavaScript and/or .NET, familiarity with Agentic AI frameworks (Semantic Kernel, LangChain, LangGraph), expertise in Azure OpenAI and automated CI/CD practices are highly valued.
Culture and Values
At Microsoft, we empower every individual and organization to achieve more. We celebrate innovation, collaboration, and inclusiveness while addressing complex business challenges for our enterprise customers.
Key skills/competency
- Python
- AI
- Machine Learning
- Azure
- Semantic Kernel
- LangChain
- .NET
- JavaScript
- MLOps
- CI/CD
How to Get Hired at Microsoft
🎯 Tips for Getting Hired
- Customize your resume: Highlight Python and Azure experience.
- Research Microsoft: Understand their culture and mission.
- Emphasize AI projects: Detail cloud-native AI achievements.
- Prepare for technical interviews: Practice coding and system design questions.
- Leverage networking: Connect with current Microsoft employees on LinkedIn.