Applied AI Engineer
Core
Design, build, and optimize AI-powered solutions, agents, and workflows using Microsoft's AI ecosystem to address real business challenges and deliver measurable value.
Role type
Applied AI Engineer (Microsoft AI Platform)
Builds
Intelligent agents, AI workflows, automation solutions, and production-ready applications.
Domain
Healthcare technology / Microsoft AI ecosystem
Deliverable
production ML models | product features
Required skills
Python, SQL, API development (REST, GraphQL), Azure AI and ML services, Azure OpenAI, Microsoft Fabric, data engineering principles, DevOps/MLOps/AIOps pipelines
Preferred skills
Agentic AI architectures, prompt engineering, RAG, SAP integration, Power Platform, containerization (Docker, Kubernetes), Responsible AI governance
Technologies
Azure AI Foundry, Copilot Studio, Azure Machine Learning, Azure Data Factory, Synapse, Microsoft Fabric, Docker, Kubernetes
Responsibilities
Design and build AI solutions and agents; develop data pipelines and APIs; implement MLOps practices for deployment and monitoring; collaborate with stakeholders to translate requirements; contribute to reusable AI capabilities and engineering standards.
Seniority
Mid-Senior (4+ years experience)