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# AI & Machine Learning Engineer

- **Company:** Washington and Idaho Railway Inc
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Computer-Aided Design, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Software Quality, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Machine Learning, Tensorflow, Digital Twin, Feature Engineering, Data Ingestion, Graph Neural Networks, Pytorch, Convolutional Neural Networks, Containerization, Scikit Learn, Information Technology, Amazon Bedrock, Machine Learning Operations, Drift Detection, Software Version Control, Docker
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvxr1l3ev

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
 * Minimum of 8 years of experience developing and deploying ML/AI systems, with at least 3 years in production environments.
 * Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs).
 * Advanced proficiency in Python; knowledge of C++ or Java is a strong plus.
 * Deep expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
 * Strong foundation in statistics, optimization, and numerical methods.
 * Experience deploying AI solutions on cloud platforms like AWS and Azure, including services like Amazon Bedrock.
 * Familiarity with LangGraph, LangChain, and Strands SDK.
 * Proficiency with containerization, CI/CD pipelines, and MLOps tools such as Docker and MLflow.
 * Knowledge of model governance, compliance, and responsible AI frameworks.
 * Experience in CAE/physics-informed ML, surrogate modeling, or simulation is preferred.
 * Prior experience in automotive or related design engineering environments is advantageous.

## Description

We are seeking an experienced AI/ML Engineer to lead the design, development, and deployment of advanced artificial intelligence and machine learning solutions that support Honda's automotive research and development initiatives. This role focuses on creating production-grade AI systems for vehicle development, simulation, manufacturing quality, and digital twin technologies. The successful candidate will own end-to-end AI solutions, mentor engineering teams, and collaborate closely with CAE, CAD, manufacturing, and data platform teams to deliver impactful innovations. This position requires expertise in scalable cloud architectures, AI surrogate modeling, MLOps, and agentic AI deployment within a complex automotive engineering environment., * Lead the development and validation of AI/ML solutions with measurable impact on automotive engineering, CAE, and manufacturing use cases.

 * Design and deploy AI surrogate models utilizing Graph Convolutional Neural Networks to augment or replace physics-based CAE methods.
 * Architect and implement scalable, cloud-based AI systems on AWS or Azure in alignment with enterprise governance standards.
 * Manage the full AI lifecycle including data ingestion, feature engineering, model training, evaluation, deployment, and ongoing monitoring.
 * Implement MLOps and GenAIOps best practices such as version control, drift detection, continuous integration/deployment, and traceability.
 * Develop and deploy agentic AI solutions to execute, augment, and monitor workflows in CAE within cloud environments.
 * Support ETL activities related to ADC data structures used in CAE processes.
 * Establish design standards, ensure code quality, and maintain documentation to facilitate reuse and auditability.
 * Mentor and provide technical guidance to mid-level and junior engineers to foster team growth and capability development.
 * Collaborate cross-functionally with engineering, simulation, and manufacturing teams to align AI initiatives with business objectives.