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Are you a customer-obsessed, AI-curious engineering leader who thrives in an inclusive, collaborative global team? The Azure Engineering Operations (EngOps) team's mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work. Our ACES engineering team is building domain specific agents and services that are fundamentally transforming Azure customer support — from reactive, human-only workflows to AI-first systems that resolve customer issues at Azure scale. We are seeking a Principal Applied AI Engineering Manager to build and lead a high-performing AI engineering pod focused on shipping production agentic AI services. You will own the engineering execution for next-generation AI agents — LLM orchestration, multi-agent coordination, RAG-based systems, and evaluation frameworks — that handle thousands of customer cases per month and drive measurable volume reduction across Azure. This is a leadership role building production AI services that directly impact millions of Azure customers. You will build the team, set the technical direction, own the delivery, and be accountable for engineering outcomes. Every day, our customers stake their business and reputation on our cloud. You can help Azure EngOps provide our customers with the world-class cloud services they need to succeed. 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.
Job Responsibility
Build and lead the AI engineering pod
Own engineering execution for agentic AI services
Set technical direction and engineering standards
Own production health and reliability
Build and maintain evaluation systems
Influence product and platform roadmaps
Drive measurable business impact
Ensure responsible AI and compliance
Develop engineering talent
Requirements
Bachelor's Degree AND 6+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience
Proficiency in Python and C# with hands-on experience building production AI/ML systems
Experience with LLM-based systems, including prompt engineering, RAG architectures, or agent frameworks
Experience with cloud platforms (Azure) and cloud-native service development (microservices, containers, CI/CD)
3+ years people management and/or informal/indirect team leadership experience
4+ years of experience using low-code/no-code platforms (e.g., Dataverse, Power Applications)
3+ years of experience managing and configuring artificial intelligence solutions (e.g., chatbots)
4+ years of experience with programming/coding
Nice to have
Bachelor's Degree AND 12+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience
Proficiency in Python and C# with hands-on experience building production AI/ML systems
Experience with LLM-based systems, including prompt engineering, RAG architectures, or agent frameworks
Experience with cloud platforms (Azure) and cloud-native service development (microservices, containers, CI/CD)
3+ years people management and/or informal/indirect team leadership experience
4+ years of experience using low-code/no-code platforms (e.g., Dataverse, Power Applications)
3+ years of experience managing and configuring artificial intelligence solutions (e.g., chatbots)