Vice President II, Artificial Intelligence (VP of AI)
Credit One Bank - Las Vegas, NV
Hiring: Vice President II, Artificial Intelligence (VP of AI) Company: Credit One Bank Location: Las Vegas, NV Job Posted Time: 2026-09-10 11:39:00 Target Skills & Keywords : AI, AWS, Azure, CI/CD, Databricks, Deep Learning, Diffusion Models, Digital Transformation, Feature Store, Fine-tuning, Kubernetes, LLM, LangChain, MLOps, Machine Learning, Microservices, NLP, PyTorch, Python, RAG, Regulatory Compliance, Reinforcement Learning, SageMaker, Snowflake, TensorFlow, Transformers, Vertex AI About the job Experience: •15+ years of progressive experience in AI/ML, software engineering, or data science, with 7+ years in leadership roles. Required Skills: •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. Qualifications: •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. •Demonstrated capacity to drive outcomes, influence strategic decisions, and deliver business value. •Demonstrated alignment with company values of excellence, ownership, collaboration, and integrity. •Core AI Concepts and Technologies Required Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!