About the Role

Software Engineer - Data Platform role at Microsoft focusing on architecting and implementing automation frameworks, data-driven scoring systems, and prioritization models using Azure Fabric and AI services. The position involves developing repeatable assets, integrating AI/analytics capabilities, and operationalizing technical feasibility models for scalable solution deployment. Requires 3 days/week in-office.

Key Responsibilities

• Design, build, and publish solution accelerators leveraging Azure Fabric and AI services
• Integrate Azure AI, Copilot, and advanced data analytics into workflow automation
• Extend Azure Fabric capabilities to develop reusable, scalable, and agentic solutions
• Contribute to internal testing and iteration of prioritization models and backlog scoring
• Create guidance and frameworks for automating prioritized business tasks using Fabric, Azure, and AI technologies

Required Skills & Qualifications

Must Have:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• 1+ years' experience with Azure Fabric, Azure Data Analytics, and AI services (including Azure OpenAI, Cognitive Services)
• 1+ years' experience working with cloud-native architectures, modern development frameworks, and prompt engineering

Nice to Have:

• Proficiency in data modeling and analytics, including survey-based techniques and AI-driven solution design
• Ability to work effectively in cross-functional teams to deliver scalable, data-driven solutions
• Hands-on experience with modern software development practices, including DevOps and CI/CD toolchains
• Strong understanding of AI services (e.g., OpenAI) and how to integrate them into modern application infrastructures

Benefits & Perks

• Industry leading healthcare