Azure AI Engineer
Summary
Design and build AI agents and RAG pipelines using Azure OpenAI and Azure AI services to solve complex industrial and manufacturing problems.
- 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.
- 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).