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Generative Ai Developer Jobs in Nevada (NOW HIRING)

Lnw

AI Engineer / AI Analyst

Las Vegas, NV · Hybrid

Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider ... Practical experience working with Generative AI and LLM-based applications (e.g., agents ...

JoshCo Group LLC

Prompt Engineer II

Las Vegas, NV · On-site

$115K/yr

Design, test, and optimize prompts for large language models and generative AI applications ... Collaborate with engineering teams to integrate AI capabilities into existing applications and ...

Veteran Benefits Guide

Prompt Engineer II

Las Vegas, NV · On-site +1

$115K/yr

Design, test, and optimize prompts for large language models and generative AI applications ... Collaborate with engineering teams to integrate AI capabilities into existing applications and ...

Deloitte

AI and Data Science Engineer III

Las Vegas, NV · On-site +1

$109K - $131K/yr

... and generative artificial intelligence solutions. * Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and ...

TELUS Digital

Senior Solutions Architect AI/ML

Las Vegas, NV · On-site

$150K - $160K/yr

... Engineering. * 2+ years of hands-on experience architecting and building solutions in the AI/ML space, including a deep understanding of the modern ML lifecycle. * Proven experience with Generative ...

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Generative Ai Developer information

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$19

$46

$102

How much do generative ai developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for generative ai developer in Nevada is $46.12, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $55.82 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Nevada? For Generative Ai Developer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Nevada look for? The top searched job categories for Generative Ai Developer jobs in Nevada are:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Nevada as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $95,924 per year, or $46.1 per hour.

AI Engineer / AI Analyst

Lnw

Las Vegas, NV • Hybrid

Full-time

Medical, Dental, Retirement

Posted 6 days ago

Job description

Corporate:
Light & Wonder's corporate team iscomprisedof incredibletalent thatworks across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.

Position Summary

Step into a high-impact role where engineering meets innovation. As an AI Engineer / Analyst, you'll play a key part in evaluating, building, and scaling AI solutions that drive real business value. From exploring cutting-edge tools to embedding AI into enterprise systems, you'll help shape how AI is adopted across the organisation.

This is a unique opportunity to work at the intersection of technology, governance, and strategy ensuring AI is not only powerful, but responsible, secure, and scalable.

We're looking for people who are full of ideas, want to challenge the norm and work to our core values...

  • Dare to be Bold-We always bring courage to work to reach for the unbelievable.

  • Uphold Integrity-We promote accountability and respect to raise the bar for ourselves and the industry.

  • Never Settle-We relentlessly push forward to create the extraordinary in every detail.

  • Celebrate Perspectives-We combine diverse talent to look at the familiar in unfamiliar ways.

  • Win as a Team-We bring out the best in each other to share collective success.

Roles and Responsibilities

  • Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business.

  • Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems.

  • Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails.

  • Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards.

  • Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions.

  • Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables.

  • Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation.

  • Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards.

  • Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams.

  • Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.

What you bring to the role

  • Experience across software engineering, AI/ML, or related enterprise technology environments.

  • Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations.

  • Practical experience working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures).

  • Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services).

  • An understanding of how to design and orchestrate AI-driven workflows or automation solutions within business environments.

  • A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs.

  • Strong documentation and organisational skills, with attention to detail and an ability to create audit-ready artefacts.

  • Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security.

  • Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation).

  • Strong communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders.

  • A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape.

What you'll gain

  • The opportunity to work on enterprise-scale AI initiatives with real business impact.

  • Exposure to cutting-edge tools, platforms, and AI development practices.

  • A collaborative environment working across engineering, governance, and business teams.

  • The chance to help shape a trusted, scalable, and future-ready AI ecosystem.

Qualifications

  • AI related course

Desirable

  • Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).

  • Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act).

  • Exposure to AI cost management or usage optimisation practices.

  • Experience with multi-agent systems, observability tools, or AI evaluation frameworks.

  • Knowledge of API architecture patterns or multi-tenant system design.

What can we offer you?

  • Annual performance bonus

  • 25 days' holiday plus bank holidays

  • Hybrid working (3 days a week in the office)

  • 1 daypaid leave to work on charitable projects

  • 1 day paid for personal celebration e.g. birthdays

  • Half Day for Health (encouraging you to take time away for you & your wellbeing)

  • Up to 8% employer pension contributions

  • A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback

  • Remote GP Access

  • Private Medical Insurance

  • Elective Benefits:Tastecard/ Travel/Dental Insurance/ GiveAsYou Earn

  • Study Support

  • Employee Assistance Programme (EAP)

Please note, we are unable to sponsor visas at this time. If you require visa sponsorship now or in the future we will not be able to progress with your application.

Light & Wonder are an Equal Opportunity Employer and encourage applications from all walks of life regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

If you are invited to an interview, please let us know if there are any reasonable adjustments, we can make to the recruitment process that will enable you to perform to the best of your ability.

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