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Vice President Deployment Engineer Jobs (NOW HIRING)

American Humane

Vice President, Marketing

Washington, DC · On-site

$180K - $200K/yr

The Vice President, Marketing (VP) is responsible for the evolution and integrity of the American Humane Society (AHS) and Global Humane Society (GHS) brand and the development and deployment of ...

American Humane

Vice President, Marketing

Washington, DC · On-site

$180K - $200K/yr

The Vice President, Marketing (VP) is responsible for the evolution and integrity of the American Humane Society (AHS) and Global Humane Society (GHS) brand and the development and deployment of ...

Payactiv, Inc.

VP of Engineering

Milpitas, CA · On-site

$255K - $275K/yr

Job Title: VP of Engineering Location: Milpitas, CA (On site) Salary Range: $255K-$275K (based on ... Lead efforts in automation, DevOps, and cloud-native practices to improve deployment speed and ...

The Harrison Rush Group

Vice President

Manhattan, NY · On-site

Investment Banking Vice President | Digital Infrastructure Location: New York, NY or Chicago, IL ... Stay at the forefront of Digital Infrastructure Services trends, including 5G deployment, edge ...

Oatey

Vice President, Engineering

Cleveland, OH · On-site

$174K - $225K/yr

The Vice President (VP), Engineering, has the opportunity to shape the future of our company's product innovation, quality standards, and value engineering while truly making a difference. Reporting ...

Oatey

Vice President, Engineering

Cleveland, OH

$174K - $225K/yr

The Vice President (VP), Engineering, has the opportunity to shape the future of our company's product innovation, quality standards, and value engineering while truly making a difference. Reporting ...

Oatey

Vice President, Engineering

Cleveland, OH

$174K - $225K/yr

The Vice President (VP), Engineering, has the opportunity to shape the future of our company's product innovation, quality standards, and value engineering while truly making a difference. Reporting ...

Automationtechies

Vice President

Milwaukee, WI

The Vice President will oversee engineering, administration, support, production, and overall business operations, while partnering closely with the CEO and VP of Sales and Marketing on strategic ...

Oatey Es

Vice President, Engineering

Cleveland, OH

$174K - $225K/yr

The Vice President (VP), Engineering, has the opportunity to shape the future of our company's product innovation, quality standards, and value engineering while truly making a difference. Reporting ...

Oatey

Vice President, Engineering

Cleveland, OH

$174K - $225K/yr

The Vice President (VP), Engineering, has the opportunity to shape the future of our company's product innovation, quality standards, and value engineering while truly making a difference. Reporting ...

Automationtechies

Vice President

Milwaukee, WI · On-site

The Vice President will oversee engineering, administration, support, production, and overall business operations, while partnering closely with the CEO and VP of Sales and Marketing on strategic ...

AeroVironment

Vice President of Engineering

Dayton, OH

$175K - $225K/yr

... rapid deployment capability, affordability, and successful transition from development into ... Engineer roles aligned to business units or product portfolios. Foster a culture centered on ...

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Vice President Deployment Engineer information

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

As of Jun 9, 2026, the average yearly pay for vice president deployment engineer in the United States is $109,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $138,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Vice President Deployment Engineer jobs? Cities with the most Vice President Deployment Engineer job openings:
What are the most commonly searched types of Deployment Engineer jobs? The most popular types of Deployment Engineer jobs are:
Vice President Deployment Engineer jobs near you
Vice President, Artificial Intelligence (VP of AI)

Vice President, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV

Full-time

Posted 11 days ago

Job description

Position Summary 

The Vice President of Artificial Intelligence (VP of AI) will lead enterprise-wide AI strategy, innovation, and execution. This role oversees the development, deployment, and governance of AI/ML systems across the organization, ensuring measurable business value, responsible AI practices, and alignment with corporate strategic goals. The VP of AI collaborates closely with Technology, Data, Operations, Risk, Compliance, and Business Unit leadership to build scalable AI platforms, optimize business processes, and accelerate digital transformation.

Essential Job Functions
  • 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.
Position Requirements
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s or PhD preferred.
  • 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.
PreferredCore AI Concepts and Technologies RequiredMachine Learning & Modeling
  • Supervised, unsupervised, reinforcement learning
  • Deep learning (CNNs, RNNs, Transformers)
  • Natural Language Processing (NLP) & LLMs
  • Generative AI (diffusion models, fine-tuning, RAG)
AI Engineering & MLOps
  • Model training, deployment, monitoring, and retraining
  • Feature stores, vector databases, and model registries
  • CI/CD pipelines for ML (MLOps)
  • GPU/accelerator compute architectures
Cloud & Infrastructure
  • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
  • Kubernetes, containerization, microservices
  • Data platforms (Databricks, Snowflake, Synapse)
Responsible AI & Governance
  • Model explainability (SHAP, LIME)
  • Fairness, bias detection, model risk controls
  • Privacy-preserving ML techniques (differential privacy, federated learning)
Programming & Tooling
  • Python, PyTorch, TensorFlow, JAX
  • LangChain, semantic search, vector embeddings
  • Prompt engineering & LLM orchestration frameworks
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.  
 

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