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Gen Ai Engineer Jobs in Nevada (NOW HIRING)

... AI tools where possible to streamline operations and monitoring. • Manage wireless networks ... Cisco/Dell/Juniper + next-gen firewalls • Endpoint security management • PowerShell scripting ...

CNC Operator

Las Vegas, NV · On-site

$19.25 - $26.25/hr

... by AI, integrated creative, and next-gen content strategy --and for the business itself, driving ... Follow instructions from the CNC Programmer, Manager, and senior department members. QUALIFICATIONS

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Showing results 1-20

Gen Ai Engineer information

See Nevada salary details

$60.6K

$113.7K

$206.7K

How much do gen ai engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for gen ai engineer in Nevada is $113,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $134,900.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

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

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

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

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

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

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

Infographic showing various Gen Ai Engineer job openings in Nevada as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $113,675 per year, or $54.7 per hour.

Cyber Identity - FDE Senior Consultant - Engineering and Product Engineer III

Deloitte

Las Vegas, NV

$99K - $137K/yr

Full-time

Posted 23 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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