Distinguished Engineer AI in Horsham, Pennsylvania

U.S. Bank • Horsham, PA

7h • Hybrid

About The Position

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

Requirements

• 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.
• 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.
• 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.
• Collaborating with business and technology stakeholders to translate requirements into analytical solutions in enterprise environments.

Responsibilities

• Lead the development, testing, and deployment of advanced artificial intelligence and machine learning solutions.
• Support business units across the organization with models for fraud detection, credit risk analysis, document intelligence, and other operational workflows within regulated financial services environments.
• 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.
• Apply modern machine learning and artificial intelligence techniques (data mining, data modeling, natural language processing, computer vision, and other emerging methods) to extract insights from large structured and unstructured datasets.
• Collaborate 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.
• Lead the development, support, and maintenance of end-to-end, production-grade AI/ML pipelines encompassing data preparation, model training, validation, deployment, monitoring, and retraining.
• Provide technical guidance and mentorship on AI/ML best practices.
• Conduct model diagnostics, interpretability analyses, and ongoing performance monitoring to identify potential drift.
• Support model governance, documentation, and compliance activities in accordance with internal policies and regulatory expectations.

Benefits

• 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 opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
• Incentive and recognition programs
• Equity stock purchase
• Pension

What This Job Offers

• Job Type: Full-time
• Career Level: Senior