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Applied AI Engineer

Microsoft· Software Engineering
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Redmond, WA, Atlanta, GA$102.1k - $202.2kFull-timePosted 1w ago

About the role

ACES CØDE is a Microsoft engineering organization focused on reducing operational demand across the Microsoft Cloud by transforming customer and operational signals into production AI services, diagnostics, and autonomous resolution systems. The Applied AI Engineer will build production agentic AI services, work with LLM orchestration and RAG-based systems, and ship services that impact Azure customers.

Responsibilities

  • Translate product specifications into AI service architectures — decompose business intent into agent workflows, data source integrations, and scalable service designs.
  • Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, including multi-agent coordination, tool integrations, and agent lifecycle management.
  • Develop and iterate on LLM-based solutions including prompt engineering, model selection, cost/token optimization, and RAG pipeline design.
  • Build evaluation systems including rubrics, golden datasets, and judge agents to validate agent correctness and safety before production deployment.
  • Write production-quality C# and Python with test-driven development, ensuring services meet reliability, performance, and security standards.
  • Deploy services using CI/CD pipelines, feature flags, and staged rollouts with full production observability (tracing, logging, metrics).
  • Implement secure service patterns including RBAC, Managed Identities, and secrets management.
  • Integrate agents with Azure data sources and cloud-native services to ground agent responses in real-time signals.
  • Apply Responsible AI practices across all agent development, ensuring outputs are safe, fair, and compliant.
  • Execute reliably within sprint and co-development commitments across ACES and partner engineering teams.
  • Own the end-to-end lifecycle of AI service components, including design, development, testing, deployment, monitoring, and incident response.

Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Skills

Required:Product-to-service translationLLM orchestrationPrompt engineeringC#/Python
Nice to have:RAG pipeline design

Benefits

  • See compensation page for benefits and pay information.
Last updated Oct 16, 2026. Interested? Apply on the company site.

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