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Job Description
Structured overview of role & requirementsAbout This Role
Own resolution of complex technical escalations related to AI-powered customer support applications by performing advanced diagnostics and collaborating with engineering teams.
Develop and operationalize AI and agent-based solutions to improve troubleshooting, automation, and support efficiency at scale.
Drive supportability improvements through trend analysis, self-healing capabilities, workflow optimization, and influence product enhancements via engineering feedback.
Minimum Requirements
At least 5 years of experience in technical support, consulting, IT, or equivalent roles.
Minimum 2 years experience developing and troubleshooting AI-powered applications including LLMs, AI agents, and prompt engineering.
Minimum 3 years experience with Microsoft AI technologies such as AI Foundry, GitHub Copilot, Microsoft Agent Framework/Semantic Kernel, Copilot Studio.
Experience building and automating enterprise cloud solutions using C#, Python, KQL, .NET, PowerShell, REST APIs, and DevOps/MLOps practices.
Ideal Candidate Profile
Experienced in building and scaling AI-powered cloud applications with a focus on Microsoft AI technologies and Azure platform solutions.
Comfortable influencing product design and engineering through detailed customer issue translation into actionable feedback.
Skilled in operationalizing AI models, workflow automation, and support tooling to improve organizational effectiveness in large-scale technology environments.