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Vice President Software Engineer Jobs in Nevada (NOW HIRING)

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data ... Strong data engineering foundations - deep enough technical understanding to review architecture ...

Notary Loop

VP of Communications

Reno, NV · On-site

$255 - $290/hr

We are in search for a VP of Communications to lead our dynamic Communications department. This ... computer software and engineering industry. In this pivotal role, you will oversee all ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data ... Strong data engineering foundations -- deep enough technical understanding to reviewarchitecture ...

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All JobsVice President Software Engineer JobsVice President Software Engineer Jobs in Nevada

Vice President Software Engineer information

See Nevada salary details

$132.4K

$197.9K

$254.6K

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

As of Aug 27, 2026, the average yearly pay for vice president software engineer in Nevada is $197,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $166,500.00 and $229,100.00 per year, depending on experience, location, and employer.

What does a Vice President Software Engineer do?

A Vice President Software Engineer is a senior-level technical leader responsible for overseeing software development projects, ensuring code quality, and driving innovation within an organization. They collaborate with cross-functional teams, mentor engineers, and contribute to strategic initiatives. Additionally, they help establish best practices, optimize system architecture, and ensure alignment with business goals. Their role often involves both hands-on coding and high-level decision-making.

What are the key skills and qualifications needed to thrive as a Vice President Software Engineer?

To thrive as a Vice President Software Engineer, you need extensive experience in software development, proven leadership abilities, and a deep understanding of technical architecture, typically backed by an advanced degree in computer science or a related field. Familiarity with enterprise-level programming languages, cloud platforms, project management tools, and certifications like PMP or AWS Certified Solutions Architect is often required. Exceptional strategic thinking, communication, and team-building abilities are key soft skills in this role. These skills are vital for driving technological innovation, managing large teams, and aligning software initiatives with organizational goals.

What are common challenges faced by a Vice President Software Engineer, and how can they be addressed?

A Vice President Software Engineer often faces the challenge of balancing technical innovation with business objectives, as well as managing cross-functional teams spread across multiple locations. Navigating shifting priorities, ensuring project delivery on time and within budget, and fostering alignment between engineering and other departments are frequent hurdles. Success in this role requires agile decision-making, strong stakeholder management, and transparent communication. Building a collaborative culture and continuously enhancing processes can help address these challenges and ensure the team’s efforts support the company’s long-term strategy.

What are the most commonly searched types of Software Engineer jobs in Nevada?

The most popular types of Software Engineer jobs in Nevada are:

What are popular job titles related to Vice President Software Engineer jobs in Nevada?

For Vice President Software Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Vice President Software Engineer jobs in Nevada look for?

The top searched job categories for Vice President Software Engineer jobs in Nevada are:

What cities in Nevada are hiring for Vice President Software Engineer jobs?

Cities in Nevada with the most Vice President Software Engineer job openings:

Vice President Software Engineer jobs near you
Infographic showing various Vice President Software Engineer job openings in Nevada as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $197,911 per year, or $95.1 per hour.

Vice President II, Artificial Intelligence (VP of AI)

Las Vegas, NV • On-site

Credit One Bank
Finance and Insurance • 501 - 1,000 employees
Learn more about Credit One Bankexternal

Full-time

Re-posted 29 days ago

Job description

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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