Software Engineer II

Posted 13 Hours Ago
Be an Early Applicant
Hiring Remotely in IN
Remote
Mid level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Develop and deploy software and AI-powered capabilities for Microsoft’s commercial businesses. Responsibilities include designing solutions, using AI-assisted engineering workflows, analyzing telemetry, resolving technical issues, integrating copilots and agents, applying LLMs, prompt engineering, grounding, and RAG, and championing responsible AI through evaluations for safety, security, reliability, and quality.
Summary Generated by Built In
Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers to places they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness, and more impact.

Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers.

Customer Success Engineering (CSE) within the Commercial Engineering and AI (CEAI) organization builds and manages critical products and services that Microsoft runs on. We pursue big ideas that power transformational advances for Microsoft and its customers while helping teams work smarter, faster, and more securely every day. We are looking for Software Engineers who are passionate about building good software and continuously learning new technologies. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply. 


Responsibilities

Responsibilities

  • Brainstorm and identify solutions for critical business and technical problems, using AI as a thought partner to accelerate ideation, weigh alternatives, and pressure-test trade-offs
  • Be innovative in identifying solutions to the functional and non-functional requirements
  • Design, develop, and deploy solutions which help in improving experiences for Microsoft Industry Solutions Delivery (ISD) and Customer Experience & Success (CE&S) businesses. Use AI-assisted and agentic engineering workflows to move from idea to production faster while upholding quality, security, and reliability.
  • Leverage AI Native Engineering practices and contribute to the Organizational Knowledge and Context for Agents to be more effective. Continuously curate this organizational knowledge so copilots and agents produce higher-quality, better-grounded results for the whole team. 
  • Analyze events and telemetry from multiple sources and resolve issues in small term and identify patterns for long term solutions, and apply AI/ML for anomaly detection and faster root-cause analysis
  • Partner with peer teams in leveraging and extending the services and experiences for bigger and broader impact
  • Design, build, and integrate AI-powered capabilities—copilots, agents, and generative AI features—into our products, applying prompt engineering, grounding, and retrieval-augmented generation (RAG) to deliver reliable, high-quality outcomes.
  • Champion Responsible AI: use systematic evaluations (evals) to measure quality, and ensure solutions are safe, secure, grounded, and trustworthy.

Qualifications

Qualifications

  • Good development experience using Azure resources and services
  • Good exposure to VSO, Git and modern engineering practices
  • Well versed with Agile development methodology
  • Hands-on experience or exposure to React and/or other JavaScript Frameworks would be a plus
  • Good experience using Microsoft technology stack and/or other languages (.NET framework, ASP.NET, C#, PowerShell, SQL).
  • Ability to create insights from App Insights and Kusto
  • Hands-on experience using AI-assisted development tools (such as GitHub Copilot and coding agents) and ‘vibe coding’ to design, write, test, and review code is a important.
  • Exposure to AI Native Engineering—building with large language models (LLMs), agent frameworks, prompt engineering, and retrieval-augmented generation (RAG) is strongly preferred
  • Familiarity with the Azure AI platform (such as Azure OpenAI Service and Azure AI Foundry) is a plus
  • Working knowledge of Responsible AI principles and AI evaluation practices is a plus
  • Good verbal and written communication skills.
  • 4+ years of relevant work experience

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.

Skills Required

  • Good development experience using Azure resources and services
  • Good exposure to VSO, Git, and modern engineering practices
  • Working knowledge of Agile development methodology
  • Experience with Microsoft technology stack or other languages, including .NET, ASP.NET, C#, PowerShell, or SQL
  • Ability to create insights from App Insights and Kusto
  • Hands-on experience using AI-assisted development tools such as GitHub Copilot and coding agents
  • Good verbal and written communication skills
  • 4+ years of relevant work experience
  • Hands-on experience with React or other JavaScript frameworks
  • Exposure to AI-native engineering, LLMs, agent frameworks, prompt engineering, and RAG
  • Familiarity with Azure AI platform, including Azure OpenAI Service and Azure AI Foundry
  • Working knowledge of Responsible AI principles and AI evaluation practices

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

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The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

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