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Distinguished Engineer AI in Horsham, Pennsylvania

Remote / Online - Candidates ideally in
Horsham, Montgomery County, Pennsylvania, 19044, USA
Listing for: US Bank
Remote/Work from Home position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Job Description & How to Apply Below
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

U.S. Bank is seeking the position of Distinguished Engineer AI in Horsham, Pennsylvania.

Essential Responsibilities:

The Distinguished Engineer AI will lead the development, testing, and deployment of advanced artificial intelligence and machine learning solutions to support business units across the organization, including models for fraud detection, credit risk analysis, document intelligence, and other operational workflows within regulated financial services environments. The role will partner closely with senior leaders and cross-functional teams to define AI/ML strategy, identify opportunities for data-driven improvements, and influence enterprise technology roadmaps.

Responsibilities include applying modern machine learning and artificial intelligence techniques-such as data mining, data modeling, natural language processing, computer vision, and other emerging methods-to extract insights from large structured and unstructured datasets; collaborating with internal partners and external stakeholders to gather requirements, evaluate third-party data sources and solutions, and integrate AI/ML capabilities into existing systems and business processes; and leading the development, support, and maintenance of end-to-end, production-grade AI/ML pipelines encompassing data preparation, model training, validation, deployment, monitoring, and retraining.

The role also involves providing technical guidance and mentorship on AI/ML best practices, conducting model diagnostics, interpretability analyses, and ongoing performance monitoring to identify potential drift, and supporting model governance, documentation, and compliance activities in accordance with internal policies and regulatory expectations. Position may allow working from home within a commuting distance of worksite location. Multiple Positions.

Basic Qualifications:

Requires a Master's degree in Statistics or Business Analytics plus 5 years of experience in the development and deployment of machine learning solutions or models in production environments. Will accept a Bachelor's degree in Statistics or Business Analytics plus 7 years of progressive, post-baccalaureate experience in the development and deployment of machine learning solutions or models in production environments in lieu of a Master's degree plus 5 years of experience.

Required Skills/

Experience:

Must possess 5 years of experience with Master's or 7 years of experience with Bachelor's with all of the following: developing and deploying machine learning solutions within regulated financial services environments; developing analytical use cases across credit risk, fraud prevention, or payments; developing and training machine learning models in large-scale and distributed data processing environments, using Python programming, SQL data querying, and performing end-to-end machine learning workflows;

conducting model diagnostics and explainability analyses to assess model performance, stability, and drift; working with large structured datasets in enterprise and production data environments; and collaborating with business and technology stakeholders to translate requirements into analytical solutions in enterprise environments. Position may allow working from home within a commuting distance of worksite location.

Base pay range may vary if an offer is made for work in a different location. Pay Range: $ - $ . (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #IND-DNP)

* The examination for this position may include an additional supplemental questionnaire. Improper or missing responses could affect your application.

* This position is not eligible for visa sponsorship.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

* Healthcare (medical, dental, vision)

* Basic term and optional term life insurance

* Short-term and long-term disability

* Pregnancy disability and parental leave

* 401(k) and employer-funded retirement plan

* Paid vacation (from two to five weeks depending on salary grade and tenure)

* Up to 11 paid holiday…
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