Microsoft Logo

Microsoft

Technical Support Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Redmond, WA, USA
86K-187K Annually
Mid level
In-Office
Redmond, WA, USA
86K-187K Annually
Mid level
Design, build, and operate scalable AI and software systems to resolve customer support cases: agent platforms, LLM pipelines (training, fine-tuning, RLHF), evaluation frameworks, intelligent routing, privacy-preserving redaction, and production engineering rails (CI/CD, telemetry, security). Collaborate across teams to ship reliable, secure AI-powered support tools at fleet scale.
The summary above was generated by AI
Overview

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

Within CE&S, the Customer Service & Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft’s AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment.

In the Customer Service & Support (CSS) team, we are looking for engineers with a passion for building software that drives customer success. As a **Technical Support Engineer**, you will own, design, and ship the AI and software systems that resolve highly complex customer technical problems at
fleet scale. This opportunity will accelerate your career growth, sharpen your system-design, problem-solving, and cross-team collaboration skills, and deepen your technical proficiency across applied AI, distributed services, and production engineering — becoming a domain and platform expert.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.


Responsibilities

You'll design and ship **scalable AI and software systems**, including:

- **An agent platform** - an extensible, Model Context Protocol (MCP)–based system of AI diagnostic skills integrated with enterprise data services, run
  inside engineers' existing tools (CLI, VS Code, and chat).
- **Production engineering rails** - CI-enforced quality gates, evaluation regression testing, **comprehensive data science telemetry**, and supply-chain
  security that let us ship AI safely and at scale. Every system is instrumented to surface performance, adoption, and quality signals in real time.
- **Language-model pipelines** - training, fine-tuning (including RLHF), and automated evaluation of models that reason over and assess support cases.
- **Quality-evaluation systems** - rubric-based, LLM-as-judge evaluation that scores case handling and surfaces coaching and compliance signals.
- **Intelligent case-routing services** - classification and ranking models that route cases to the right team and catch misrouted cases early.
- **Privacy-preserving data tooling** - a redaction pipeline (pattern-matching → transformer models → LLM) that protects PII and secrets across every data
  flow, forming the trusted substrate the rest of the platform depends on.


Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 3+ years technical support, technical consulting experience, or information technology experience OR equivalent experience. 

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

     

Additional or preferred qualifications:

  • 3+ years of experience developing and shipping production software services using TypeScript/Node.js, Python, or C#/.NET.
  • Experience building AI-powered applications, including large language models (LLMs), AI agents, prompt engineering, Model Context Protocol (MCP), machine learning models, or text classification/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, RLHF, preference-based training, LLM-as-a-judge methodologies, labeled datasets, or benchmark development.
  • Experience implementing software quality, security, and DevOps practices, including automated testing, code reviews, CI/CD pipelines, GitHub Actions, CodeQL, dependency management, secret scanning, and branch governance.
  • Experience developing customer-facing or enterprise applications, including solutions for privacy, compliance, PII detection, data redaction, customer support, or operational workflows.


Technical Support Engineering IC4 - The typical base pay range for this role across the U.S. is USD $86,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $113,300 - $187,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

HQ

Microsoft Redmond, Washington, USA Office

1 Microsoft Way, Redmond, WA, United States, 98052

Microsoft Bellevue, Washington, USA Office

Bellevue, United States

Microsoft Issaquah, Washington, USA Office

Issaquah, United States

Microsoft Kirkland, Washington, USA Office

Kirkland, United States

Microsoft Mercer Island, Washington, USA Office

Mercer Island, United States

Microsoft Sammamish, Washington, USA Office

Sammamish, United States

Microsoft Seattle, Washington, USA Office

Seattle, United States

Similar Jobs

7 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
71K-96K Annually
Mid level
71K-96K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Provide Tier 2 hardware and software support for Samsara's IoT products, troubleshoot medium-to-high complexity issues, manage tickets, author knowledge base articles, partner with Engineering and Product teams, and meet SLA goals while supporting customers across hardware, mobile apps, APIs, and cloud services.
Top Skills: APIsCloudIotMobile ApplicationsSaaSSalesforceZendesk
Yesterday
In-Office
Redmond, WA, USA
106K-223K Annually
Senior level
106K-223K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Own and resolve complex customer technical issues and lead end-to-end AI initiatives: architecture, model selection, RAG and agentic pipelines, prompt and tooling design, safety guardrails. Drive roadmap, releases, and governance (Responsible AI, model-risk, privacy, compliance), validate outcomes with telemetry, and own the customer supportability experience while collaborating with applied science and engineering.
Top Skills: Agentic PipelinesAi/MlGenerative AiLarge Language Models (Llms)Model GovernancePrompt EngineeringResponsible AiRetrieval-Augmented Generation (Rag)Telemetry
4 Days Ago
Hybrid
60K-90K Annually
Junior
60K-90K Annually
Junior
Artificial Intelligence • Fintech • Software
Provide hands-on technical support for FloQast integrations, owning L1–L3 cases, troubleshooting APIs and authentication, configuring customer environments, using tools like Postman and log/session replay, collaborating cross-functionally, contributing knowledge-base articles, and driving successful integration outcomes for customers.
Top Skills: APIsDeveloper ToolsJIRALog AnalysisOauthPostmanRest ApisSalesforceSAMLSession ReplaySftpSQLSsoZendesk

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account