Azure AI Platform- Embedded Product Engineer

Resolve complex technical escalations through advanced diagnostics and close collaboration with engineering teams. Build and operationalize AI and agentic solutions that improve troubleshooting, automation, and overall support efficiency. Drive supportability investments through trend analysis, self-healing capabilities, and workflow optimization. Influence product improvements by translating customer issues into actionable engineering feedback. Scale organizational effectiveness through tooling, knowledge sharing, technical coaching, and readiness initiatives. 5+ years of experience in technical support, technical consulting, information technology, or equivalent experience. 2+ years of experience developing and troubleshooting AI-powered applications, including LLMs, AI agents, MCP, and prompt engineering. 5+ years of experience building and automating enterprise-scale cloud solutions using technologies such as C#, Python, KQL, .NET, PowerShell, REST APIs, DevOps/MLOps practices, and workflow automation platforms. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent industry experience. Experience building AI-powered applications, including large language models (LLMs), AI agents, prompt engineering, Model Context Protocol (MCP), machine learning models, and text classification or ranking systems. Experience designing cloud and data solutions using Azure, large-scale datasets, Azure Data Explorer (Kusto), and retrieval technologies such as keyword, vector, or semantic search. Experience evaluating and improving AI systems through model evaluation frameworks, preference-based training, LLM-as-a-judge methodologies, labeled datasets, and benchmark development.