Azure AI Engineer
ace stackSeattle (WA)
About the role
Azure AI Engineer
Location: Bellevue, WA (Hybrid)
Fulltime – Permanent Must Have Technical/Functional Skills: Agentic AI Frameworks & Autonomous Workflow Design; LLM Orchestration; Prompt Engineering & AI Agents; Azure Cloud-Native Development & Microservices; Python; C#; Embeddings & AI Evaluation Frameworks; AI/ML Systems Development & Production Deployment. Sentiment Analysis & NLP Solutions; Azure AI Foundry; Azure OpenAI.
Roles & Responsibilities:
Architect, design, and implement large-scale agentic AI solutions for sentiment intelligence.
Build and optimize cloud-scale Azure services for reliability, performance, and scalability.
Develop LLM orchestration frameworks, prompt pipelines, and agent workflows.
Collaborate with product, research, applied science, and data engineering teams to deliver AI-powered capabilities.
Drive AI technical strategy, engineering excellence, experimentation, and innovation.
Ensure security, compliance, operational excellence, and responsible AI adoption.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.