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Ai Automation Engineer Jobs in Reno, NV (NOW HIRING)

Vibrant Planet

Infrastructure Engineer

Truckee, CA · Remote

$123K - $161K/yr

Our cloud-based, AI-driven platform modernizes land management planning, community risk assessment ... automation, tooling, and scripting. • Experience building and maintaining CI/CD pipelines with ...

Generac Power Systems, Inc.

Senior Firmware Engineer

Reno, NV · On-site

$119K - $157K/yr

Experience with Python in a CI/CD or automation context * Experienced using AI in a production ... Able to solve intermediate engineering problems; good decision-making skills. * Expert level ...

Generac

Senior Firmware Engineer

Reno, NV · On-site

$119K - $157K/yr

Experience with Python in a CI/CD or automation context * Experienced using AI in a production ... Able to solve intermediate engineering problems; good decision-making skills. * Expert level ...

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Showing results 21-40

All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Reno, NV

Ai Automation Engineer information

See Reno, NV salary details

$36.9K

$106.8K

$162.5K

How much do ai automation engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai automation engineer in Reno, NV is $106,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $123,100.00 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 Reno, NV? For Ai Automation Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Ai Automation Engineer jobs in Reno, NV look for? The top searched job categories for Ai Automation Engineer jobs in Reno, NV are:
What cities near Reno, NV are hiring for Ai Automation Engineer jobs? Cities near Reno, NV with the most Ai Automation Engineer job openings:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,812 per year, or $51.4 per hour.

Deployment Engineer - Commercial Site Team

Figure

Reno, NV

Other

Re-posted 20 days ago

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but this role will be based at one of our customer sites in Reno, NV.

The Deployment Engineer will be a key team member initially for development, and shortly thereafter deployment into customer sites. 

Responsibilities: 

  • Support engineering with deployment and development, serving as an on-site representative 
  • Develop testing plans and procedures for customer site, prioritizing roadmaps and development goals 
  • Execute testing at the customer site, including tracking and analyzing data collections and debugging as necessary
  • Ensure the necessary testing goals are achieved while maintaining and exceeding customer performance expectations and requirements 
  • Collect and analyze testing data to improve our software and hardware performance 
  • Communicate feedback to engineering clearly

Requirements: 

  • 3-5+ years of work experience in automotive or industrial automation/robotics integration, deployment, and development 
  • Engineering degree 
  • Excellent judgment and execution in high pressure situations
  • Experience transitioning products from design to pilot to commercialization 
  • Familiarity with project management software (Confluence, Jira, etc.)
  • Willingness to travel frequently between HQ and customer site 
  • Experience with Linux, Python or other coding languages 
  • Experience in customer-facing roles 

Bonus Qualifications:

  • Software validation experience

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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