Senior Applied AI Engineer
Core
Design and build production agentic AI solutions for Azure diagnostics and documentation using LLM orchestration, RAG pipelines, and agent workflows to solve customer technical problems.
Role type
Senior Applied AI Engineer (IC)
Builds
Scalable AI services, agentic workflows, and evaluation-driven systems for Azure diagnostics and documentation.
Domain
Cloud infrastructure (Azure) + Applied AI / LLMs
Deliverable
production ML models
Required skills
LLM orchestration, RAG pipelines, agent workflows, C# and Python, production software engineering, AI evaluation frameworks, CI/CD, distributed systems design, security patterns for AI
Preferred skills
Customer support engineering background, Azure services expertise, infrastructure as code, container orchestration
Technologies
C#, Python, Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, LLM frameworks, RAG tools, CI/CD pipelines
Responsibilities
Analyze data signals to uncover failure patterns in Azure diagnostics; Develop scalable agentic AI solutions with LLM orchestration and RAG; Write, review, and maintain production-quality C# and Python code; Translate support scenarios into technical designs and implement end-to-end delivery; Build evaluation frameworks using rubrics and golden datasets; Ensure services meet requirements for reliability, latency, and safety; Integrate agents with Azure data sources and APIs; Operate services with CI/CD, monitoring, and incident response; Mentor engineers and lead technical design reviews.
Seniority
Senior, hands-on IC with technical leadership
