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Ai Engineer Jobs in Reno, NV (NOW HIRING)

Senior AI Agent Engineer

Carson City, NV · On-site

$114.60 - $234.60/hr

This engineer will design and implement AI-driven workflows that integrate with enterprise systems and support use cases such as SQL generation, pipeline scaffolding, data exploration, metric design ...

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading the development of complex AI/ML systems, driving innovation, and mentoring team members to deliver ...

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows. * Document solution design, build ...

AI Builder

Reno, NV · On-site

$14.50 - $19/hr

Apply prompt engineering, retrieval-augmented generation concepts, and agent orchestration techniques to create reliable and well-structured AI-enabled workflows. * Document solution design, build ...

Software Engineer III

Sparks, NV · Hybrid

$108K - $149K/yr

Build and integrate AI/ML-driven capabilities into prototype systems in collaboration with AI engineers and data scientists. * Rapidly iterate on designs, perform lightweight user testing, and refine ...

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Showing results 1-20

Ai Engineer information

See Reno, NV salary details

$38.9K

$101.5K

$137.1K

How much do ai engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai engineer in Reno, NV is $101,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $116,200.00 per year, depending on experience, location, and employer.

What kind of work do AI engineers do?

AI engineers develop and implement artificial intelligence models and algorithms to solve complex problems, often working with machine learning, deep learning, and data analysis. They design, train, and optimize AI systems using tools like Python, TensorFlow, or PyTorch, and collaborate with cross-functional teams to deploy AI solutions in various applications.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

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

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are the most commonly searched types of Ai Engineer jobs in Reno, NV? The most popular types of Ai Engineer jobs in Reno, NV are:
What are popular job titles related to Ai Engineer jobs in Reno, NV? For Ai Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Ai Engineer jobs in Reno, NV look for? The top searched job categories for Ai Engineer jobs in Reno, NV are:
What cities near Reno, NV are hiring for Ai Engineer jobs? Cities near Reno, NV with the most Ai Engineer job openings:
Infographic showing various Ai Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $101,454 per year, or $48.8 per hour.

Senior AI Agent Engineer

Ll Oefentherapie

Carson City, NV • On-site

$114.60 - $234.60/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Pre-Qualifications
  • Security clearance required: Yes
  • 10+ years of experience
  • Visa/work permit sponsorship not available
  • English language proficiency
Job Description

Oracle Health is seeking a Senior AI Agent Engineer to build production AI agents and workflow automation capabilities that accelerate analytics delivery, improve insight generation, and reduce manual engineering work across our analytics and reporting ecosystem.

This engineer will design and implement AI-driven workflows that integrate with enterprise systems and support use cases such as SQL generation, pipeline scaffolding, data exploration, metric design support, insight discovery, executive narrative creation, and report/dashboard acceleration. The role requires strong software engineering fundamentals combined with hands‑on experience building LLM-enabled applications that are grounded, testable, and production‑ready.

The ideal candidate is a builder who can move from concept to implementation, balancing speed with safety, evaluation, and maintainability. This person should be able to work across prompts, tools, code, APIs, structured outputs, validation, and workflow integration to deliver real productivity gains.

Responsibilities
  • Design, build, test, and deploy production AI agents and AI-assisted workflows for analytics and reporting use cases.
  • Implement agents that support tasks such as SQL generation, pipeline creation, metric design support, insight discovery, executive narrative generation, and dashboard/report scaffolding.
  • Integrate AI capabilities with enterprise tools, data platforms, semantic services, and existing engineering workflows.
  • Develop structured tool‑calling patterns, validation logic, retry handling, and grounded output generation.
  • Build evaluation and testing approaches for AI workflows, including regression testing, quality validation, and failure analysis.
  • Partner with architects, semantic engineers, and domain teams to ensure AI outputs are useful, accurate, and operationally practical.
  • Optimize workflows for quality, speed, cost, and maintainability.
  • Contribute to AI engineering standards, reusable components, and continuous improvement across the team.
Qualifications

Disclaimer: Certain U.S. based or U.S. customer or client‑facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

US hiring range: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Benefits include:

  • Medical, dental, and vision insurance
  • Short‑term disability and long‑term disability
  • Life insurance and AD&D
  • Supplemental life insurance (employee/spouse/child)
  • Health care and dependent care flexible spending accounts
  • Pre‑tax commuter and parking benefits
  • 401(k) savings and investment plan with company match
  • Paid time off, holidays, sick leave, parental leave, adoption assistance, stock purchase plan
  • Financial planning and group legal services
  • Voluntary benefits including auto, homeowner, and pet insurance
Required Skills
  • API integration
  • Debugging and troubleshooting
  • Evaluation and testing of AI systems
  • Production software engineering
  • Prompt and tool orchestration
  • Python, Java, or similar programming language experience
  • SQL and data‑oriented problem solving
  • Structured outputs and validation
  • Workflow automation
Additional Information

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Request a referral from an Oracle employee.

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