Microsoft Logo

Microsoft

Senior Technical Support Engineer

Reposted 3 Days Ago
Be an Early Applicant
In-Office
Irving, TX
106K-223K Annually
Senior level
In-Office
Irving, TX
106K-223K Annually
Senior level
Lead design and delivery of scalable AI and production software systems to resolve complex customer support issues. Own architecture, model pipelines (training, fine-tuning, RLHF), agent platforms, evaluation and telemetry, CI-driven production rails, privacy-preserving data redaction, and intelligent case-routing. Drive roadmap, governance, and customer supportability across cross-functional teams.
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 **Senior 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 own complex AI initiatives end to end: partnering with applied science and engineering to shape architecture and integrated customer solutions — model selection, retrieval-augmented and agentic pipelines, prompt and tooling design, and safety guardrails.

You'll drive the roadmap, schedules, and staging and release plans against clear objectives; lead governance across the AI development lifecycle (Responsible AI review, model-risk, privacy, and compliance); and validate outcomes against real telemetry.

You'll own the customer supportability experience and act as a trusted technical person who evangelizes and drives the right work.



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/minimum qualifications

  • Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 5+ 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
  • Bachelor's Degree in Computer Science, Information Technology, or related field AND 12+ years of technical support, technical consulting experience, or information technology experience OR equivalent experience.
  • Microsoft Technology Certifications
  • Industry IT-Based Certifications (e.g. Comp-TIA, CCNA, ISC2)
  • 3+ years of experience developing and shipping production software services using TypeScript/Node.js, Python, or C#/.NET.
  • Experience building AI-powered applications using large language models (LLMs), AI agents, MCP tools, prompt engineering, or machine learning techniques.
  • Experience designing solutions that leverage Azure cloud services, large-scale datasets, Azure Data Explorer (Kusto), and retrieval technologies such as keyword, vector, or semantic search.
  • Experience evaluating AI systems through model evaluation frameworks, labeled datasets, RLHF, preference-based training, or LLM-as-a-judge methodologies.
  • Experience implementing software quality and security practices, including automated testing, code reviews, CI/CD pipelines, code scanning, dependency management, and branch governance.
  • Experience developing privacy, compliance, or data protection solutions, including PII detection and data redaction.
  • Experience building customer-facing, support, or enterprise operations applications.

 

Technical Support Engineering IC5 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 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.

Similar Jobs

3 Days Ago
In-Office
Senior level
Senior level
Big Data • Cloud • Security • Software • Cybersecurity
Provide high-touch technical support and troubleshooting for Trend AI products (on‑prem and SaaS), resolve complex customer issues, interface with engineering, set up lab environments, mentor junior engineers, participate in projects and on‑call rotations, and maintain knowledge of current and beta product releases.
Top Skills: Ai-Assisted Knowledge SearchAi-Powered Diagnostic ToolsAnti-MalwareAWSAzureCiscoCitrixEndpoint SecurityFirewallGoGoGCPHypervLinux (RhelMicrosoft Active DirectoryMicrosoft SqlWindowsNetwork Analysis ToolsOraclePostgresPythonSaaSSslSuse)UbuntuVMware
3 Days Ago
In-Office
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
7 Days Ago
Remote or Hybrid
USA
80K-100K Annually
Senior level
80K-100K Annually
Senior level
Cloud • Security • Software
Provide escalated technical support for Ping Identity products on a shifted follow-the-sun schedule. Troubleshoot customer issues, manage case escalations and queue during weekend shifts, reproduce problems, collaborate with Engineering/SRE/Product teams, handle phone/alert responses, and document bugs and remediation while following ISO27001/9001 and security incident processes.
Top Skills: ApacheAWSAzureGoogle Cloud PlatformHTTPIisIpv4Ipv6JavaJbossLinuxSslTomcatUnixVirtualizationWindows Server

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account