Senior AI Engineer

Role Description

Be part of a team that values safety, inclusion, and excellence. As a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world.

BNSF | Tech is the technology division making BNSF the preeminent freight and mobility company in North America. If you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! Join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter.

We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us!

Job Location: Remote US

Anticipated Start Date: 06/01/2026

The US base salary range for this full-time position is provided below:

• Salary Range: $165,000 - $300,000
• L5: $165,000 - $220,000
• L6: $225,000 - $300,000

This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States. Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in-person meetings. Travel expenses for business needs will be covered by BNSF.

This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility.

Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date.

Qualifications

• Authorized to work in the US.
• Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience.
• Strong in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deep learning architectures.
• Familiarity with data engineering tools and platforms (e.g., Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab) and cloud services (AWS, Azure, Databricks) and open source environments.
• Strong knowledge of databases (SQL and NoSQL).
• Strong knowledge of MLOps ecosystem.
• Strong understanding of generative AI models.
• Strong in Data Pipelines for GenAI (e.g., cleaning, chunking embeddings).
• Strong in GenAI tools and frameworks (LangChain, LangGraph).
• Strong in Vector Databases and embeddings.
• Familiar with Agentic architecture.
• Ability to interpret complex datasets and derive actionable insights.
• Proven ability to tackle real-world challenges using AI and machine learning techniques.
• Excellent verbal and written communication skills for working with cross-functional teams and stakeholders.

Requirements

• Able to work now and in the future without BNSF’s assistance (whether monetary, through sponsorship, or otherwise) in obtaining, maintaining, or extending employment authorization (including H-1B, STEM OPT/CPT, or TN nonimmigrant status).
• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Experience with predictive maintenance, anomaly detection, or industrial IoT applications.
• Knowledge of railroad operations, transportation systems, or logistics.
• Familiarity with MLOps practices and tools for model lifecycle management.
• Experience deploying AI systems in production environments with a focus on scalability and reliability.
• Previous experience in transportation, supply chain, or infrastructure industries.

Benefits

• An industry-leading 401(k) and renowned Railroad Retirement program.
• A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options.
• Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost.
• Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match).
• Access to discounts on travel, gym memberships, counseling services and wellness support.
• Annual bonus (Incentive Compensation Program).
• Generous leave / time off policies.