Posted 8 days ago
Azure AI Engineer
AI Summary
· Design and build AI agents and end-to-end solutions that solve problems spanning multiple technical and manufacturing domains.· Work directly with domain PhDs and subject-matter experts to understand, document, and map complex processes.· Translate scientific and process knowledge into structured workflows, models, and agentic systems.· Develop and integrate solutions using Azure AI services (Azure OpenAI, Azure AI Foundry, Azure Machine Learning).· Build RAG pipelines, orchestration workflows
About this role
· Design and build AI agents and end-to-end solutions that solve problems spanning multiple technical and manufacturing domains.
· Work directly with domain PhDs and subject-matter experts to understand, document, and map complex processes.
· Translate scientific and process knowledge into structured workflows, models, and agentic systems.
· Develop and integrate solutions using Azure AI services (Azure OpenAI, Azure AI Foundry, Azure Machine Learning).
· Build RAG pipelines, orchestration workflows, and tool-calling agents grounded in domain knowledge.
· Deploy, monitor, and optimize solutions in production with appropriate security and governance.
Requirements
· Bachelor’s degree in Computer Science, Engineering, or a related field.
· Strong programming skills in Python.
· Hands-on experience with the Azure AI ecosystem (Azure OpenAI, Azure AI Foundry / ML, Cognitive Services).
· Experience building LLM-based applications, AI agents, and RAG systems.
· Ability to interface with technical domain experts and translate specialized knowledge into working systems.
· Strong analytical and process-mapping skills; comfortable working across unfamiliar technical domains.
· Familiarity with orchestration frameworks (e.g., LangChain, Semantic Kernel) and MLOps.
· Exposure to advanced manufacturing or scientific/industrial process environments.
· Experience with industrial/IoT or time-series data.
· Azure certifications (e.g., AI Engineer Associate).
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