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Azure AI Engineer

Job Description - Azure AI Engineer

Description

·        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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