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Prompt Engineer Jobs in Nevada (NOW HIRING)

Deloitte

AI and Data Science Engineer III

Las Vegas, NV · On-site +1

$109K - $131K/yr

... prompt and context patterns * Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry

Pwc

ERP AI Engineer - Manager

Las Vegas, NV

$99K - $232K/yr

... prompt engineering - Building scalable, cloud-native microservices and containerized deployments - Proficiency with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and ...

Lnw

AI Engineer / AI Analyst

Las Vegas, NV · Remote

Hands-on GenAI/LLM application experience including agents, tool/function calling, RAG architectures, embeddings, vector search, and prompt engineering. * Hands-on experience with enterprise GenAI ...

Meltwater

Senior Backend Engineer

Las Vegas, NV

Support AI-adjacent platform needs (embedding generation workflows, provider abstractions, prompt ... Mentor engineers and influence engineering standards across the team Required Skills & Experience

Quora

AI Automation Engineer -Remote

Las Vegas, NV · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

Quora

AI Automation Engineer -Remote

Henderson, NV · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

Quora

AI Automation Engineer -Remote

Sparks, NV · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

Quora

AI Automation Engineer -Remote

Carson City, NV · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

Deloitte

Senior Forward Deployed Engineer- AWS

Las Vegas, NV · On-site

$99K - $137K/yr

Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. The team AI & Engineeringleverages cutting-edge engineering capabilities to build, deploy, and ...

Bausch + Lomb

AI Agent ML Engineer

Carson City, NV

$165K - $190K/yr

Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate). * Success operating in a matrix environment, developing strong relationships across functional groups (e.g ...

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$47

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How much do prompt engineer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for prompt engineer in Nevada is $47.95, according to ZipRecruiter salary data. Most workers in this role earn between $36.49 and $61.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in Nevada? The most popular types of Prompt Engineer jobs in Nevada are:
What are popular job titles related to Prompt Engineer jobs in Nevada? For Prompt Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer jobs in Nevada look for? The top searched job categories for Prompt Engineer jobs in Nevada are:
What cities in Nevada are hiring for Prompt Engineer jobs? Cities in Nevada with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Nevada as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $99,732 per year, or $47.9 per hour.
Vice President, Artificial Intelligence (VP of AI)

Vice President, Artificial Intelligence (VP of AI)

Credit One Bank

Las Vegas, NV • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas. They are seeking a Vice President of Artificial Intelligence (VP of AI) to lead enterprise-wide AI strategy, innovation, and execution, overseeing the development and governance of AI/ML systems to ensure business value and responsible practices.
Responsibilities:
• 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.
Qualifications:
Required:
• Bachelor’s degree in computer science, Engineering, Data Science, or related field.
• 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:
• Supervised, unsupervised, reinforcement learning
• Deep learning (CNNs, RNNs, Transformers)
• Natural Language Processing (NLP) & LLMs
• Generative AI (diffusion models, fine-tuning, RAG)
• Model training, deployment, monitoring, and retraining
• Feature stores, vector databases, and model registries
• CI/CD pipelines for ML (MLOps)
• GPU/accelerator compute architectures
• Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
• Kubernetes, containerization, microservices
• Data platforms (Databricks, Snowflake, Synapse)
• Model explainability (SHAP, LIME)
• Fairness, bias detection, model risk controls
• Privacy-preserving ML techniques (differential privacy, federated learning)
• Python, PyTorch, TensorFlow, JAX
• LangChain, semantic search, vector embeddings
• Prompt engineering & LLM orchestration frameworks
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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