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Ai Automation Engineer Jobs in Nevada (NOW HIRING)

EnerSys

Senior Finance AI & Automation Developer

Henderson, NV · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will ...

Plum Inc

Data and Automation Engineer - Python

Las Vegas, NV

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation. You'll be responsible for building scalable ...

Panasonic

Sr. Engineer, Industrial Automation and Robotics

Sparks, NV · On-site

$106K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The engineer will drive deployment of robotics, task-specific equipment automation, process control, automated inspection, and AI-integrated hardware systems. This role converts Next Gen concepts ...

Amperesand

Senior Automation Controls Engineer

Reno, NV · On-site

$103K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern ... We are seeking a highly skilled and passionate Senior Automation Controls Engineer to lead the ...

Ormat

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration ... Hands-on fluency with at least one modern agent, automation, or low-code/no-code platform such as ...

Ormat

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration ... Hands-on fluency with at least one modern agent, automation, or low-code/no-code platform such as ...

Ormat Technologies, Inc.

AI Builder

Reno, NV · On-site

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration ... Hands-on fluency with at least one modern agent, automation, or low-code/no-code platform such as ...

Libra Solutions

Quality Engineer, AI-Native

Las Vegas, NV · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role requires hands-on automation expertise and the ability to operate effectively as the quality safeguard in an agentic engineering environment - where AI agents contribute to code and test ...

Libra Solutions

Quality Engineer, AI-Native

Las Vegas, NV · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role requires hands-on automation expertise and the ability to operate effectively as the quality safeguard in an agentic engineering environment - where AI agents contribute to code and test ...

Office1

AI Solutions Engineer

Las Vegas, NV · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The job is building AI workflows and automation.What you'll do in your first six monthsHelp migrate and validate our CRM data alongside our Microsoft Dynamics engineer.Build v1 of our internal ...

Office1

AI Solutions Engineer

Las Vegas, NV · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The job is building AI workflows and automation. What you'll do in your first six months * Help migrate and validate our CRM data alongside our Microsoft Dynamics engineer. * Build v1 of our internal ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Nevada

Ai Automation Engineer information

See Nevada salary details

$37.7K

$109.1K

$166K

How much do ai automation engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai automation engineer in Nevada is $109,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $125,800.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are popular job titles related to Ai Automation Engineer jobs in Nevada?

For Ai Automation Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Nevada look for?

The top searched job categories for Ai Automation Engineer jobs in Nevada are:

What cities in Nevada are hiring for Ai Automation Engineer jobs?

Cities in Nevada with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Nevada as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $109,087 per year, or $52.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Carson City, NV • On-site

Other

Re-posted 23 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply