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If you’re an engineer eager to build the next generation of agentic AI systems and redefine how Microsoft understands and acts on customer sentiment, we want to hear from you. Your work will shape high-visibility AI investments and empower billions of users worldwide. Copilots are transforming how we empower people and organizations, and customer sentiment is at the center of building responsible, high-impact AI. The IDEAS Sentiment team powers how product groups across Microsoft 365—including Copilot, Windows, Teams, Outlook, Edge, Word, Excel, PowerPoint and more—listen to customers at scale, generate insights, and close the loop. We are now pushing into a new frontier: agentic AI that can reason, orchestrate tasks, enrich feedback, and autonomously produce actionable insights across millions of signals. We’re seeking a Senior Software Engineer with deep expertise in agentic AI, LLM systems, modern AI CLI tooling, and scalable cloud architectures. This individual contributor role is designed for an AI expert who will elevate engineering excellence and accelerate our transformation into an Agentic AI-first sentiment intelligence platform. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We work with a growth mindset, respect, integrity, and a commitment to inclusion. You’ll join a collaborative team that values curiosity, technical rigor, and building AI systems that make a meaningful impact—at global scale.
Job Responsibility:
Lead the design, development, and deployment of complex data pipelines and services
Write high-quality, maintainable, and well-tested code in languages such as C#, Java, or C++
Use scripting languages (e.g., Python, PowerShell) to automate data workflows and operational tasks
Collaborate with cross-functional teams to define technical requirements and drive architectural decisions
Mentor junior engineers and contribute to team growth and best practices
Apply deep technical expertise to solve challenging data engineering problems at scale
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Strong proficiency in agentic AI frameworks, LLM orchestration, prompt engineering, and autonomous workflow design
Experience developing cloud-native systems using Azure, including microservices, data services, and distributed computation
Familiarity with modern AI development CLI tools, evaluation frameworks, vector search, embeddings, and model debugging
Solid problem-solving skills and experience with large-scale data systems
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Experience with cloud platforms (e.g., Azure, AWS) and big data technologies
Advanced expertise in LLM-based agents, including planning, memory management, tool-use patterns, and multi-step reasoning
Expertise with distributed systems, data modeling, and performance optimization
Track record of driving cross-team collaboration and delivering impactful solutions