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Accelerator Engineer Jobs in Nevada (NOW HIRING)

IMEG

Technology Designer (Revit)

Las Vegas, NV · On-site +1

Utilize engineering software and tools to create detailed designs, specifications, and calculations ... IDEA Program: a firm-wide innovation accelerator where employees across every discipline develop ...

US Tech Solutions

Manager, Subcontractor Relations

Reno, NV · On-site

$137K/yr

... an accelerator in the mutual growth of the individual and the organization as well. Keeping the ... Engineering, Construction Management or related field is highly preferred. A high school diploma or ...

KidStrong Summerlin

Kidstrong Kids Coach

Las Vegas, NV · On-site

$18 - $22/hr

KidStrong is a milestone accelerator for kids walking through 11 years old. We help parents ... Teach the KidStrong curriculum as provided by the HQ programming team * Must be able to ensure ...

KidStrong Henderson

Kidstrong Kids Coach

Henderson, NV · On-site

$18 - $22/hr

KidStrong is a milestone accelerator for kids walking through 11 years old. We help parents ... Teach the KidStrong curriculum as provided by the HQ programming team * Must be able to ensure ...

Neato

Chief Technology Officer

Las Vegas, NV · On-site

Heads of Engineering, AI, Business Intelligence, and Product About Neato Neato is a Las Vegas-based eCommerce accelerator that purchases inventory from established consumer brands and operates as ...

KidStrong

Kidstrong Kids Coach

Henderson, NV · On-site

$18 - $22/hr

KidStrong is a milestone accelerator for kids walking through 11 years old. We help parents ... Teach the KidStrong curriculum as provided by the HQ programming team * Must be able to ensure ...

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Vice President II, Artificial Intelligence (VP of AI)

Las Vegas, NV • On-site

CreditOne
See more jobs at CreditOneexternal

Full-time

Re-posted 10 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.

Preferred
Core AI Concepts and Technologies Required
Machine 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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