Senior Technical Support Engineer at Microsoft is responsible for designing and delivering AI-enabled software systems that resolve highly complex customer technical problems at fleet scale. You will own end-to-end AI initiatives, partnering with applied science and engineering to shape architecture, model selection, retrieval-augmented and agentic pipelines, prompt tooling design, and safety guardrails. You will drive roadmaps, schedules, staging and release plans, and govern the AI development lifecycle (Responsible AI, model risk, privacy, and compliance), validating outcomes with real telemetry. You will design and ship scalable AI and software systems, including an agent platform integrated with enterprise data services; production engineering rails with CI/CD, telemetry, and secure supply chains; language-model pipelines (training, fine-tuning, RLHF); quality-evaluation systems; intelligent case-routing services; and privacy-preserving data tooling to protect PII. Qualifications include a Bachelor's degree in Computer Science, Information Technology, or related field plus 5+ years of technical support or equivalent experience, or 12+ years for senior track; experience with TypeScript/Node.js, Python, or C#/.NET; experience building AI-powered applications using LLMs and Azure cloud services; data tools such as Azure Data Explorer (Kusto) and retrieval technologies; experience with model evaluation frameworks and data protection; and experience delivering customer-facing enterprise applications. Some roles may require Microsoft Cloud Background Check.

Senior Technical Support Engineer at Microsoft is responsible for designing and delivering AI-enabled software systems that resolve highly complex customer technical problems at fleet scale. You will own end-to-end AI initiatives, partnering with applied science and engineering to shape architecture, model selection, retrieval-augmented and agentic pipelines, prompt tooling design, and safety guardrails. You will drive roadmaps, schedules, staging and release plans, and govern the AI development lifecycle (Responsible AI, model risk, privacy, and compliance), validating outcomes with real telemetry. You will design and ship scalable AI and software systems, including an agent platform integrated with enterprise data services; production engineering rails with CI/CD, telemetry, and secure supply chains; language-model pipelines (training, fine-tuning, RLHF); quality-evaluation systems; intelligent case-routing services; and privacy-preserving data tooling to protect PII. Qualifications include a Bachelor's degree in Computer Science, Information Technology, or related field plus 5+ years of technical support or equivalent experience, or 12+ years for senior track; experience with TypeScript/Node.js, Python, or C#/.NET; experience building AI-powered applications using LLMs and Azure cloud services; data tools such as Azure Data Explorer (Kusto) and retrieval technologies; experience with model evaluation frameworks and data protection; and experience delivering customer-facing enterprise applications. Some roles may require Microsoft Cloud Background Check.