Job Description

Are you inspired to push the boundaries of how intelligent systems transform cloud experiences?
Do you want to build next-generation Copilot-like experiences and AI-driven user interfaces that redefine how customers interact with cloud products?
Welcome to the Edge Customer Experience team, part of Microsoft's Specialized Cloud organization -- where innovation meets real-world impact.
We are a team of passionate engineers, collaborators, and culture-builders delivering seamless, intelligent, and scalable experiences across the Edge portfolio -- including Azure Local (formerly Azure Stack HCI), Arc Workload Orchestration, Site Manager, Azure Local Catalog, and Jumpstart.
Azure Local delivers the power of Azure to the edge -- a hyperconverged infrastructure (HCI) OS with cloud-managed intelligence, real-time insights, and Azure Arc integration.
Arc Workload Orchestration simplifies AI and application deployment across distributed edge environments using cloud-native orchestration and automation.
Our team sits at the intersection of Edge + AI, building Copilot flows, inference systems, and adaptive interfaces that bring machine learning and reasoning closer to the user and the data.
We enable real-time decision-making, ultra-low-latency experiences, and trustworthy AI systems that operate securely at the edge and in the cloud.
If you're passionate about AI-driven engineering -- from intent understanding and data-driven insights to autonomous orchestration and predictive edge intelligence -- this is where your work will have global impact.

Responsibilities

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We are searching for an accomplished Senior Software Engineer who is passionate about building intelligent, high-quality, and impactful products. This role offers an opportunity to collaborate with global teams to deliver Copilot-enabled experiences that empower customers and redefine productivity You will operate as a senior individual contributor, leading design and development across multiple layers of the stack, and partnering closely with AI, UX, and platform teams. You will work in a diverse and inclusive environment that values curiosity, craftsmanship, and continuous learning We're looking for intelligent, driven engineers with a growth mindset -- individuals who can turn ambiguity into clarity, ideas into architecture, and architecture into reliable, user-centric solutions We invite intelligent, driven engineers with a positive mindset and a commitment to growth, prepared to transform ambiguity into tangible deliverables and solutions and shepherd the execution to completion Design, architect, and implement frontend, backend, and service components to support multi-step Copilot flows, including data orchestration, context management, and state persistence Integrate LLMs and APIs to enable context-aware, human-in-the-loop experiences across customer scenarios Collaborate with AI, UX, and platform teams to translate user intent into actionable and structured workflows Define reusable patterns, SDKs, and libraries that accelerate Copilot flow development across teams Drive execution of feature work through the complete software development lifecycle -- from concept and design to release and live site excellence Ensure system performance, observability, and trust, including latency optimization, data protection, and fault resilience Champion engineering best practices, code quality, and maintainability through reviews, mentorship, and technical guidance Experiment and prototype new AI-driven interaction models, continuously improving Copilot capabilities and developer efficiency Collaborate across organizational boundaries to deliver a seamless, high-quality product experience Foster a healthy, inclusive team culture that reflects our values of respect, accountability, and integrity

Qualifications

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Required Qualification:7+ years of professional software development experience. Exposure to AI/LLM integration, function calling, or semantic retrieval systems is highly desirable. Proficiency in frontend frameworks (React, TypeScript) and backend services using C#, Java, or Python. Experience in building scalable, distributed systems and integrating APIs or microservices. Strong understanding of cloud technologies (Azure, AWS, or GCP). Solid grasp of system design, telemetry, and live site operations. Strong problem-solving, communication, and cross-functional collaboration skills. A growth mindset -- openness to learn, mentor, and lead through influence.

Preferred Qualification:Designed or implemented Copilot-like, assistive, or agentic workflows. Experience building developer-facing frameworks, SDKs, or reusable flow components. Experience leading a v-team to deliver a complex product features or platform capabilities. Understanding of responsible AI principles -- data privacy, transparency, fairness, and model explainability.


Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.