Overview
Description/Overview:
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 great 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 short 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 must
- 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.**