Applied AI Engineer II
Microsoft · Posted Oct 19
Software, cloud computing, artificial intelligence, and hardware services
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About the role
ACES CØDE is a Microsoft engineering organization focused on reducing operational demand across the Microsoft Cloud by turning customer and operational signals into intelligent diagnostics, autonomous resolution systems, and AI-powered capabilities. The team is building domain-specific agents and services that move Azure customer support from reactive, human-dependent workflows toward AI-first systems. This role turns product specifications into production-ready AI services using LLM orchestration, multi-agent coordination, and RAG-based systems, shipping services that directly impact Azure customers.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of software engineering experience in C# and/or Python, with production deployment experience.
- Experience building or integrating with LLM-based systems (prompt engineering, RAG, or agent frameworks).
- Familiarity with Azure services (Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, or similar cloud-native technologies).
- Experience with CI/CD pipelines, automated testing, and production observability.
- Understanding of data structures, algorithms, and system design fundamentals.
Preferred qualifications
- Bachelor's or Master's degree in Computer Science, AI, or related field.
- Experience with multi-agent orchestration and agent-to-agent communication protocols.
- Experience with evaluation frameworks for AI systems (rubrics, golden datasets, judge agents).
- Familiarity with RAG pipelines and vector retrieval systems.
- Experience with container orchestration, microservices architecture, and cloud-native deployment patterns.
- Experience with security practices (RBAC, Managed Identities, secrets management).
- Experience working in Agile/sprint-based delivery with cross-org dependencies.
- Problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Vice Chair and President
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