AI Systems Engineer - Industrial ML & Digital Twin

BWX Technologies, Inc.; Oak Ridge (TN); On-site; USD 86,000 - 161,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedules

Professional development

Inclusive culture

National security mission

Job summary

BWX Technologies, Inc. seeks an AI Systems & Solutions Engineer for the Oak Ridge Enrichment Operations site in Tennessee. You will support enterprise-level digital engineering, modernization, and analytics initiatives, developing open-source AI tools and maintaining production AI stacks.

The role involves ML-driven solutions, data integration, and secure capabilities for high‑value missions. You will work with engineering, manufacturing, operations, and automation teams to deliver scalable AI,

Qualifications

• BS/MS in CS, Engineering, Data Science, or related field.

Responsibilities

• Architect and maintain open-source AI/ML tools and pipelines.
• Build AI stacks using Python, Docker, Kubernetes, and ML frameworks.
• Design AI/ML solutions for manufacturing optimization and engineering workflows.
• Integrate AI systems with digital thread/twin environments and MES/SCADA.
• Develop APIs and microservices for model orchestration and data ingestion.
• Implement CI/CD workflows for AI workloads.
• Create end-to-end pipelines for sensor/IoT data including anomaly detection.
• Collaborate with engineering and operations teams on deployable AI.
• Produce documentation and model explainability summaries.
• Mentor junior engineers on AI/ML development.

Skills

AI/ML pipelines

Python

Cross‑team collaboration

Education

B.S./M.S. in CS/Engineering/Data Science

Tools

Git

Docker

Kubernetes

CI/CD

MLflow

TensorFlow

PyTorch

ML tooling

Job description

BWX Technologies, Inc. seeks an AI Systems & Solutions Engineer for the Oak Ridge Enrichment Operations site in Tennessee. You will support enterprise-level digital engineering, modernization, and analytics initiatives, developing open-source AI tools and maintaining production AI stacks.

The role involves ML-driven solutions, data integration, and secure capabilities for high‑value missions. You will work with engineering, manufacturing, operations, and automation teams to deliver scalable AI,