8 days ago
Remote, India +2 moreMid Level
Responsibilities
- Understand customers’ AI transformation priorities, business needs, and success measures.
- Design and architect enterprise-grade AI applications and cloud solutions aligned with business and IT requirements.
- Lead roadmaps, proofs of concept, MVPs, and production deployments while ensuring performance, security, scalability, maintainability, repeatability, reusability, and reliability.
- Identify and resolve customer production blockers using subject-matter expertise and repeatable best practices.
- Build and improve reusable intellectual property and deployment assets that accelerate customer value.
- Drive customer success and consumption growth by helping customers extract value from Microsoft investments.
- Share customer insights with engineering teams and influence product improvements, roadmaps, and feature prioritization.
- Educate customers and field teams on Azure AI platforms, technical best practices, and emerging AI technologies.
Requirements
- Bachelor’s degree in computer science, information technology, engineering, business, or a related field, plus 4+ years of relevant experience, or equivalent experience.
- Deep expertise in at least one Azure AI area, such as Cognitive Services, Machine Learning, Azure OpenAI, or Copilot.
- Proficiency with Python, C#, R, JavaScript, or similar programming languages for application development.
- Experience integrating Azure AI with services such as Azure Functions, Kubernetes, Docker, or API Management.
- Experience building enterprise-grade AI-focused cloud solutions on Azure, AWS, or GCP from MVP through production.
- Strong understanding of DevOps practices and CI/CD toolchains, with familiarity with MLOps and AI/ML lifecycle management.
- Knowledge of AI and ML concepts, prompt engineering, GPU and FPGA compute systems, TensorFlow, PyTorch, Jupyter notebooks, and VS Code.
- Knowledge of generative AI, large language models, foundational model toolsets, responsible AI, ethical considerations, bias mitigation, and fairness.
- Ability to communicate business value, build trusted stakeholder relationships, interpret customer needs, and advise technical and business decision makers.
- Ability to meet Microsoft, customer, and/or government security-screening requirements, including the Microsoft Cloud Background Check.
Benefits
- Global customer-facing technical role within Microsoft’s Customer Experience and Success organization.
- Opportunity to work on challenging AI transformation projects and influence Microsoft product improvements.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of five days.
- The role requires passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Tech Stack
Categories
Solutions Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.