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Vice President Generative Ai Machine Learning Jobs

Morgan Stanley

VP, AI Compliance Officer

Dallas, TX · On-site

$108K - $185K/yr

This is a Vice President level position within the Innovation, Platforms and Communications ... Machine Learning models and Generative AI, to assess compliance with regulatory rules related to ...

Morgan Stanley

VP, AI Compliance Officer

Baltimore, MD · On-site

$108K - $185K/yr

This is a Vice President level position within the Innovation, Platforms and Communications ... Machine Learning models and Generative AI, to assess compliance with regulatory rules related to ...

Morgan Stanley

VP, AI Compliance Officer

Dallas, TX · On-site

$108K - $185K/yr

This is a Vice President level position within the Innovation, Platforms and Communications ... Machine Learning models and Generative AI, to assess compliance with regulatory rules related to ...

Mutual of America

Vice President, AI Strategy

Manhattan, NY · On-site

$176K - $265K/yr

Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments. * Maintain authority and accountability for ...

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$157.5K

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How much do vice president generative ai machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for vice president generative ai machine learning in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Generative Ai Machine Learning vs Data Science Director?

AspectVice President Generative Ai Machine LearningData Science Director
Required CredentialsAdvanced degrees in AI, ML, or related fields; extensive experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical background
Work EnvironmentLeadership role overseeing AI/ML teams, strategic planning, and innovationManagement of data science teams, project execution, and data analysis
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsFinancial, healthcare, retail, and other industries utilizing data analytics

The Vice President Generative Ai Machine Learning focuses on leading AI/ML strategy and innovation at a high level, often overseeing generative AI projects. In contrast, the Data Science Director manages data analysis teams, ensuring project delivery and data insights. Both roles require advanced degrees and leadership skills but differ in scope and focus within the AI and data fields.

What cities are hiring for Vice President Generative Ai Machine Learning jobs? Cities with the most Vice President Generative Ai Machine Learning job openings:
What states have the most Vice President Generative Ai Machine Learning jobs? States with the most job openings for Vice President Generative Ai Machine Learning jobs include:
What job categories do people searching Vice President Generative Ai Machine Learning jobs look for? The top searched job categories for Vice President Generative Ai Machine Learning jobs are:
Vice President Generative Ai Machine Learning jobs near you
Infographic showing various Vice President Generative Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Machine Learning Engineer - Document Digitization (LLMs)-Vice President

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$171K - $260K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.
As a Machine Learning Engineer - Document Digitization (LLMs)-Vice President in our organization, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.
Job responsibilities
  • Lead the design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.
  • Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.
  • Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.
  • Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
  • Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
  • Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.
  • Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.
  • Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
  • Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
  • Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.
  • Contribute to communities of practice and explore new and emerging technologies.

Required qualifications, capabilities, and skills
  • Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
  • Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).
  • Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.
  • Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).
  • Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.
  • Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
  • Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).
  • Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.
  • Strong understanding of SDLC, CI/CD, resiliency, and security practices.
  • Demonstrated ability to accelerate development using AI technologies.
  • Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.

Preferred qualifications, capabilities, and skills
  • Experience in financial services, especially investment banking or credit risk operations
  • Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs
  • Familiarity with distributed computing, data sharing, and DDP training
  • Experience in design/code reviews and mentoring teams
  • AWS Generative AI Developer Professional certification or equivalent

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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