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Vice President Generative Ai Machine Learning Jobs

Shipium Corp.

VP of AI, ML and Data Strategy

$277K - $290K/yr

The team owns the production machine learning behind delivery promise, carrier selection ... The function is also a foundational partner to Shipium's broader Generative AI work, providing the ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL

$137K - $240K/yr

Your Role The SVP, AI Architect will serve as a strategic member of the Enterprise Architecture ... Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in ...

Trella Health

... machine learning, and generative AI-and translate that foundation into measurable clinical ... Chief Technology Officer As the VP of Data Strategy at Trella, you will lead: Strategy & Vision

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$137K - $240K/yr

Your Role The SVP, AI Architect will serve as a strategic member of the Enterprise Architecture ... Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Your Role The SVP, AI Architect will serve as a strategic member of the Enterprise Architecture ... Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Your Role The SVP, AI Architect will serve as a strategic member of the Enterprise Architecture ... Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in ...

Chase

Applied AI ML Engineer-Vice President

Manhattan, NY

$198K - $255K/yr

Applied AI ML Engineer-Vice President The Corporate & Investment Bank is a global leader across ... in machine learning and generative AI. Job Responsibilities * Develop and implement machine ...

Chase

Applied AI ML Engineer-Vice President

Palo Alto, CA

$212K - $273K/yr

Applied AI ML Engineer-Vice President The Corporate & Investment Bank is a global leader across ... in machine learning and generative AI. Job Responsibilities * Develop and implement machine ...

C3 AI

Vice President, Alliances

Redwood City, CA

As the Vice President of Alliances, you will own the end-to-end strategy, execution, and ... Background in enterprise AI, machine learning, agentic AI, or generative AI software. * Experience ...

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All JobsVice President Generative Ai Machine Learning Jobs

Vice President Generative Ai Machine Learning information

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$43.5K

$157.5K

$277.5K

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

As of Jun 22, 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.

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Vice President Generative Ai Machine Learning jobs near you
Vice President, Artificial Intelligence (VP of AI)

Vice President, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. They are seeking a Vice President of Artificial Intelligence (VP of AI) to lead enterprise-wide AI strategy, innovation, and execution, overseeing the development and governance of AI/ML systems to ensure business value and responsible practices.
Responsibilities:
• Define and lead the enterprise AI strategy, including advanced analytics, machine learning, deep learning, and generative AI capabilities.
• Build and oversee AI Centers of Excellence (CoE) to drive innovation, reusable solutions, and best practices.
• Partner with IT, Data Engineering, and Cloud teams to establish a scalable AI/ML platform and MLOps frameworks.
• Identify high-impact AI opportunities that drive automation, operational efficiency, customer experience improvements, and revenue growth.
• Establish standards for Responsible AI, model governance, explainability, bias detection/mitigation, and regulatory compliance.
• Lead the development, deployment, and lifecycle management of AI/ML models across multiple business units.
• Oversee the creation of reusable AI components, annotation processes, model training pipelines, and evaluation frameworks.
• Implement enterprise-wide generative AI solutions including LLMs, copilots, prompt engineering frameworks, and knowledge automation tools.
• Collaborate with cybersecurity leaders to implement secure AI architectures, data protection controls, and model threat-defense mechanisms.
• Promote cross-functional collaboration through transparency, communication, and evangelism of AI capabilities.
• Build and manage high-performing AI teams including machine learning engineers, data scientists, AI product managers, and researchers.
• Support annual planning, budgeting, strategic roadmaps, and executive-level presentations for AI programs.
• Continuously monitor emerging AI trends, tools, and technologies and recommend adoption as appropriate.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree in computer science, Engineering, Data Science, or related field.
• 12–15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles.
• Demonstrated experience architecting, deploying, and scaling machine learning or deep learning systems in production.
• Deep knowledge of Responsible AI frameworks, risk controls, and regulatory expectations.
• Strong experience with cloud platforms (Azure preferred), distributed systems, and MLOps.
• Exceptional communication skills, with ability to translate complex AI concepts for senior executives.
• Proven ability to lead and inspire diverse technical teams.
• Ability to drive outcomes, influence strategic decisions, and deliver business value.
• Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity.
Preferred:
• Supervised, unsupervised, reinforcement learning
• Deep learning (CNNs, RNNs, Transformers)
• Natural Language Processing (NLP) & LLMs
• Generative AI (diffusion models, fine-tuning, RAG)
• Model training, deployment, monitoring, and retraining
• Feature stores, vector databases, and model registries
• CI/CD pipelines for ML (MLOps)
• GPU/accelerator compute architectures
• Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
• Kubernetes, containerization, microservices
• Data platforms (Databricks, Snowflake, Synapse)
• Model explainability (SHAP, LIME)
• Fairness, bias detection, model risk controls
• Privacy-preserving ML techniques (differential privacy, federated learning)
• Python, PyTorch, TensorFlow, JAX
• LangChain, semantic search, vector embeddings
• Prompt engineering & LLM orchestration frameworks
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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