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BNY

engineering opportunity

Senior Vice President, AI / Machine Learning Software Engineer

The Senior Vice President will provide expert technical consulting for machine learning systems and lead the strategic planning of large-scale AI initiatives. They are responsible for overseeing model deployments, ensuring compliance with governance standards, and integrating automated lifecycle components into functional pipelines.

Pittsburgh, Pennsylvania, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at BNY?

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.

At BNY, our culture allows us to run our company better and enables employees’

growth and success. As a leading global financial services company at the heart

of the global financial system, we influence nearly 20% of the world’s

investible assets. Every day, our teams harness cutting-edge AI and breakthrough

technologies to collaborate with clients, driving transformative solutions that

redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet

advanced technology and exceptional talent. Together, we power the future of

finance – and this is what #LifeAtBNY is all about. Join us and be part of

something extraordinary.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY

Newsroom [https://www.bny.com/corporate/global/en/about-us/newsroom.html] & BNY

LinkedIn [https://www.linkedin.com/company/bnyglobal/posts/? feedView=all]

Here’s a few of our recent awards:

* America’s Most Innovative Companies, Fortune, 2025

* World’s Most Admired Companies, Fortune 2025

* “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits

and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs

rooted in a strong culture of excellence and our pay-for-performance philosophy.

We provide access to flexible global resources and tools for your life’s

journey. Focus on your health, foster your personal resilience, and reach your

financial goals as a valued member of our team, along with generous paid leaves,

including paid volunteer time, that can support you and your family through

moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer -

Underrepresented racial and ethnic groups/Females/Individuals with

Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our

employees. The expected base salary for this position when employment commences

can be found in the Job Info section at the bottom of the posting.

Base salary offered may vary depending on multiple individualized factors,

including market location, job-related knowledge, skills, and experience. Base

salary is only part of the total rewards package, which may include eligibility

for an annual discretionary incentive award. Subject to the terms and conditions

of the applicable plans then in effect, eligible employees may enroll in a

401(k) plan as well as participate in Company-sponsored medical, dental, vision,

and basic life insurance plans for the employee and the employee’s eligible

dependents. Eligible employees also may receive other benefits (including

various paid time off benefits, such as vacation and sick time), dependent on

the position offered. Details of participation in these benefit plans will be

provided if an employee receives an offer of employment.

If hired, the employee will be in an “at will” position and the Company reserves

the right to modify base salary (as well as any other discretionary payments or

compensation programs) at any time, including for reasons related to individual

performance, Company or individual department/team performance, and market

factors.

Which skills does this role require?

Software EngineeringStrategic PlanningModel DeploymentPipeline TechnologiesTechnical ConsultingData GovernanceModel GovernanceSystem ArchitecturePerformance OptimizationAutomationLifecycle ManagementArtificial IntelligenceSTEMGlobal PaymentsTradeScalable Systems

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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