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Vice President Applied Engineer Jobs (NOW HIRING)

The VP, Applied Intelligence is a Senior leadership role accountable for setting the AI vision that ... Partner with Engineering, Data Science, and Design to translate frontier AI capabilities into ...

Applied Physics is seeking an experienced and dedicated VP of Sales to join our team. As the VP of Sales, you will be responsible for developing sales plans and strategies to achieve sales goals ...

Applied Physics is seeking an experienced and dedicated VP of Sales to join our team. As the VP of Sales, you will be responsible for developing sales plans and strategies to achieve sales goals ...

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Vice President Applied Engineer information

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$112.5K

$215.6K

$398.5K

How much do vice president applied engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for vice president applied engineer in the United States is $215,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $180,000.00 and $232,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Vice President Applied Engineer jobs? Cities with the most Vice President Applied Engineer job openings:
What are the most commonly searched types of Applied Engineer jobs? The most popular types of Applied Engineer jobs are:
What states have the most Vice President Applied Engineer jobs? States with the most job openings for Vice President Applied Engineer jobs include:
Infographic showing various Vice President Applied Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $215,595 per year, or $103.7 per hour.

VP, Applied AI/ML Leader for Payments & Fraud

NCSL International

Manhattan, NY

Full-time

Medical

Posted 18 days ago


Job description

JPMorgan Chase Payments is seeking a Vice President, Applied AI/ML Lead in New York, NY. This role involves driving the delivery of high-impact AI/ML capabilities in the payment ecosystem using advanced neural networks and overseeing the implementation of ML systems.

The candidate should have a strong background in applied machine learning, cloud computing, and software engineering, with demonstrated success in deploying models effectively to enhance fraud detection and operational efficiency.

Competitive total rewards including salary, variable pay, comprehensive health coverage, and additional benefits will be offered, based on suitability and experience.

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