Salary
≈ $115k – $248k per year (Estimated)
Location
In office (Pittsburgh)
Seniority
Senior · 7+ years exp
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Aug 11, 2026. BNY scores B on the Alion truth index.
Overview
Company
Impact
Profile match
BNY, formerly BNY Mellon, is a global financial services company headquartered in New York City, providing custody, fund administration, clearing, corporate trust, treasury and payments services, investment management through BNY Investments, and wealth management to institutions and individuals. Founded in 1784 by Alexander Hamilton, it oversees about 62.6 trillion dollars in assets under custody and administration and has large operations in Pittsburgh, Lake Mary, Manchester, London, Dublin and Pune. Hiring spans fund administration and client service, audit, data, AI and full-stack engineering, product management and analyst and summer internship programs.
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.
To be successful in this role, we’re seeking the following:
- 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.
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