Senior Technical Support Engineer

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$106,400–$203,600 / yr
Posted
6 days ago
Freshness
Confirmed live today
Closes
Mar 28, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $155k
$95k most similar roles pay here $215k

This role pays less than 55% of similar roles. Most pay $140,825–$177,250 — the shaded band above. At the midpoint, this role pays about $155k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 628 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 597 roles with salary data.

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At a glance

TL;DR · Senior Technical Support Engineer

As a Senior Technical Support Engineer within the Customer Service & Support team, you will own, design, and ship AI and software systems that resolve complex customer technical problems at fleet scale. You will manage end-to-end AI initiatives by partnering with engineering teams to develop architecture for model selection, retrieval-augmented pipelines, prompt design, and safety guardrails. Your daily work involves building an agent platform using Model Context Protocol, developing production engineering rails with CI-enforced quality gates, creating language-model pipelines involving fine-tuning and RLHF, and designing intelligent case-routing services. You will utilize technologies including TypeScript, Node.js, Python, C#/.NET, and Azure cloud services while managing large datasets via Kusto. The role focuses on solving technical support challenges by building automated evaluation systems, privacy-preserving data redaction tools, and scalable infrastructure to improve the customer supportability experience.

What you'll do

  • Design and ship scalable AI and software systems to resolve complex customer technical problems at fleet scale.
  • Manage end-to-end AI initiatives including model selection, retrieval-augmented pipelines, prompt design, and safety guardrails.
  • Develop an extensible agent platform with integrated diagnostic skills for use in developer tools like CLI and VS Code.
  • Build production engineering rails including CI-enforced quality gates, regression testing, and real-time telemetry.
  • Create language-model pipelines for training, fine-tuning, and automated evaluation of models that assess support cases.
  • Develop intelligent case-routing services using classification and ranking models to route tickets to the correct teams.
  • Build privacy-preserving data tooling and redaction pipelines to protect PII and secrets across all data flows.
  • Lead governance for the AI development lifecycle including Responsible AI reviews, model risk, and compliance.

What we're looking for

  • Bachelor's Degree in Computer Science, Information Technology (IT), or related field and 5+ years of technical support, consulting, or IT experience.
  • Ability to pass Microsoft Cloud background checks every two years.
  • Bachelor's Degree in Computer Science, Information Technology, or related field and 12+ years of technical support, consulting, or IT experience (preferred).
  • Microsoft Technology Certifications or industry IT-based certifications like CompTIA, CCNA, or ISC2 (preferred).
  • 3+ years of experience developing and shipping production software services using TypeScript/Node.js, Python, or C#/.NET (preferred).
  • Experience building AI-powered applications using LLMs, AI agents, MCP tools, prompt engineering, or machine learning techniques (preferred).
  • Experience designing solutions using Azure cloud services, large-scale datasets, Kusto, and retrieval technologies like vector or semantic search (preferred).
  • Experience with software quality/security practices, AI evaluation frameworks, privacy-preserving data tooling, or customer-facing applications (preferred).

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