JTEKT North America is seeking a Principal AI Engineer to lead the design, architecture, and deployment of Generative AI and Machine Learning systems that power intelligent knowledge platforms, document understanding, and diagnostics.
Requirements
- Backend: Python, FastAPI, Node.js
- Frontend: React, TypeScript, TailwindCSS
- Cloud & Infrastructure: Azure OpenAI, Cognitive Search, Prompt Flow, Logic Apps, Azure Blob Storage, SharePoint
- ML Frameworks: scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Semantic Kernel
- Data & APIs: SQL, REST APIs, Pandas, NumPy
- Large Language Models (LLMs), prompt engineering, retrieval tuning
- Agent orchestration, tool chaining, multi-agent coordination
Responsibilities
- Architect and Deploy GenAI Systems: Design intelligent applications using Azure OpenAI, Prompt Flow, LangChain, Semantic Kernel, and other agentic frameworks.
- Develop and Orchestrate AI Pipelines: Integrate Azure services (Logic Apps, Container Apps, Cognitive Search, Azure Blob Storage, SharePoint) into end-to-end solutions that support retrieval, generation, and feedback workflows.
- Full-Stack AI Application Development: Build scalable backend services (Python, FastAPI, Node.js) and modern frontends (React, TypeScript, TailwindCSS) to deliver production-ready tools.
- Design and Optimize RAG Pipelines: Engineer semantic and hybrid search systems that power intelligent Q&A, summarization, and document extraction.
- Automate Data Ingestion and Indexing: Connect structured and unstructured enterprise data sources (PDFs, SharePoint, sensor data) with AI systems.
- Implement and Evaluate ML Models: Apply deep learning and classical ML (e.g., CNNs, RNNs, XGBoost, logistic regression) for diagnostics, anomaly detection, and document classification.
- Apply Statistical Modeling: Use multivariate analysis, hypothesis testing, and Bayesian methods to build robust industrial analytics solutions.
Other
- Candidates must not require sponsorship now or in the future.
- This position has no supervisory responsibilities.
- Ability to lead projects across:
- Align with Business Outcomes: Work cross-functionally with engineering, operations, IT, and innovation teams to ensure solutions drive real-world value and operational impact.
- Travel by automobile and plane required approximately 10% of time.
