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# Senior Vice President, AI / Machine Learning Software Engineer

- **Company:** The Bank of New York Mellon Corporation
- **Location:** ARSENAL, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Performance Tuning, Software Engineering, Machine Learning Operations
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-vice-president-ai-machine-learning-software-engineer-pittsburgh-pa--31b6d0a4-df52-4c0b-9590-5b05ce68c06a

## About the Role

Machine Learning, Software Engineering, Artificial Intelligence (AI), Software Engineering, Machine Learning, Artificial Intelligence (AI), Technical Consulting, Strategic Planning, Large-Scale Systems, Consulting, * Advanced degree in STEM engineering, or equivalent work experience, with experience preferred in related fields.

 * 7-9 years of related experience in leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.
 * Experience in the securities or financial services industry.
 * Experience leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.

## Description

We are seeking a future team member for the role of Senior Vice President AI/Machine Learning Software Engineer to join our client platforms, global payments and trade team. This role is located in Pittsburgh.

In this role, you'll make an impact in the following ways:

 * Provide comprehensive senior-level technical consulting to senior machine learning staff and serve as the technical expert in the design, development, implementation and maintenance of model deployments and machine learning pipeline technologies and tools.
 * Lead end-to-end strategic planning and oversight of large-scale machine learning systems and complex machine learning initiatives with direct strategic impact.
 * Consult with businesses to resolve highly complex machine learning and pipeline issues, evaluate compliance with data and model governance standards, and maintain pipeline functionality and currency.
 * Develop flowcharts, layouts and documentation to satisfy requirements and solutions, integrate automated lifecycle components into fully functional pipelines, and define implementation plans for model integration and performance optimization.