16 hours ago
Base Salary
$102k - $219k/yr
Responsibilities
- Translate product specifications into AI service architectures, agent workflows, data 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 lifecycle management.
- Develop LLM-based solutions through prompt engineering, model selection, cost and token optimization, and RAG pipeline design.
- Build evaluation systems using rubrics, golden datasets, and judge agents to assess correctness and safety.
- Write production-quality C# and Python and apply testing, reliability, performance, and security standards.
- Deploy services through CI/CD pipelines, feature flags, staged rollouts, and production observability with tracing, logging, and metrics.
- Implement secure service patterns including RBAC, Managed Identities, and secrets management.
- Integrate agents with Azure data sources and cloud-native services to ground responses in real-time signals.
- Apply Responsible AI practices and own the full lifecycle of AI service components, including deployment, monitoring, and incident response.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- Ability to meet Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred: master's degree in Computer Science, AI, or a related field.
- Preferred: 4+ years of software engineering experience in C# and/or Python with production deployment experience.
- Preferred: experience with LLM-based systems, prompt engineering, RAG, agent frameworks, multi-agent orchestration, and agent-to-agent communication protocols.
- Preferred: familiarity with Azure services, CI/CD, automated testing, production observability, evaluation frameworks, vector retrieval, container orchestration, microservices, and cloud-native deployment.
- Preferred: experience with security best practices, data structures, algorithms, system design, and Agile or sprint-based delivery.
Benefits
- Certain roles may be eligible for benefits and other compensation; additional benefits and pay information is provided through Microsoft's careers site.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
- Passing the Microsoft Cloud Background Check is required upon hire or transfer and every two years thereafter.
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.