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Assistant Prompt Engineering Jobs in Nevada (NOW HIRING)

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Description Position Summary The Assistant Vice President of Artificial Intelligence (AVP of AI) is ... Prompt engineering & LLM orchestration frameworks * Excellent communication, problem-solving, and ...

Deloitte

Lead Forward Deployed Engineer, Snowflake

Las Vegas, NV · On-site

$97.90K - $128.90K/yr

... assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the ...

Deloitte

Lead Forward Deployed Engineer - AWS

Las Vegas, NV · On-site

$97.90K - $128.90K/yr

... assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the ...

Deloitte

AI Engineer Consultant

Las Vegas, NV · Hybrid

... engineering to deliver reliable, secure, and scalable AI solutions. This role is hands-on and ... assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context ...

Varsity Tutors

Claude Tutor

Reno, NV · Remote

$40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Familiar with AI assistant literacy needs and common challenges such as crafting precise ...

Varsity Tutors

Claude Tutor

Las Vegas, NV · Remote

$40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Familiar with AI assistant literacy needs and common challenges such as crafting precise ...

Varsity Tutors

Claude Tutor

North Las Vegas, NV · Remote

$40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Familiar with AI assistant literacy needs and common challenges such as crafting precise ...

Varsity Tutors

Claude Tutor

Henderson, NV · Remote

$40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context ... Familiar with AI assistant literacy needs and common challenges such as crafting precise ...

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Assistant Prompt Engineering information

What is the difference between Assistant Prompt Engineering vs Prompt Engineer?

AspectAssistant Prompt EngineeringPrompt Engineer
Required CredentialsTypically a bachelor's degree in computer science, AI, or related fieldsSimilar, often requiring advanced knowledge in AI and programming
Work EnvironmentSupportive, collaborative teams working on AI projectsFocused on designing and optimizing prompts for AI models
Industry UsageCommon in AI startups, tech companies, and research labsPrimarily in AI development, NLP, and machine learning sectors
Search & Comparison IntentUnderstanding entry-level roles assisting prompt designSpecialized role for prompt optimization and AI interaction

Assistant Prompt Engineering roles typically involve supporting prompt design and require similar credentials as Prompt Engineers. While assistants focus on collaboration and support, Prompt Engineers are more specialized in creating and refining prompts for AI models. Both roles are prevalent in AI and tech industries, with assistants often serving as entry points into prompt-related work.

What are the most commonly searched types of Prompt Engineering jobs in Nevada? The most popular types of Prompt Engineering jobs in Nevada are:
What are popular job titles related to Assistant Prompt Engineering jobs in Nevada? For Assistant Prompt Engineering jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Assistant Prompt Engineering jobs in Nevada look for? The top searched job categories for Assistant Prompt Engineering jobs in Nevada are:
What cities in Nevada are hiring for Assistant Prompt Engineering jobs? Cities in Nevada with the most Assistant Prompt Engineering job openings:
Assistant Prompt Engineering jobs near you

Vice President, Artificial Intelligence (VP of AI)

CreditOne

Las Vegas, NV • On-site

Full-time

Posted 10 hours 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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