Azure AI Platform- Embedded Product Engineer
Core
Resolve complex technical escalations and build/operationalize AI and agentic solutions to improve troubleshooting, automation, and support efficiency.
Role type
Senior IC Azure AI Platform Embedded Product Engineer
Builds
AI-powered troubleshooting tools, automation workflows, and self-healing capabilities for enterprise support
Domain
Cloud infrastructure, AI/ML, and enterprise supportability
Deliverable
production ML models | product features
Required skills
Advanced diagnostics and troubleshooting, AI agent development, LLM integration, prompt engineering, Model Context Protocol (MCP), cloud solution architecture, workflow automation, DevOps/MLOps practices, enterprise-scale system design, model evaluation frameworks, preference-based training, LLM-as-a-judge methodologies, retrieval technologies (keyword, vector, semantic search), Azure Data Explorer (Kusto), REST API design
Preferred skills
Technical coaching, knowledge sharing, readiness initiatives, trend analysis
Technologies
C#, Python, KQL, .NET, PowerShell, Azure, Azure Data Explorer, DevOps/MLOps platforms
Responsibilities
Resolve complex technical escalations through advanced diagnostics, Build and operationalize AI and agentic solutions, Drive supportability investments through trend analysis and self-healing capabilities, Influence product improvements by translating customer issues into engineering feedback, Scale organizational effectiveness through tooling and technical coaching, Evaluate and improve AI systems using model evaluation frameworks and benchmark development
Seniority
Senior, hands-on IC
