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Generative Ai Testing Jobs in Nevada (NOW HIRING)

Virtusa Corporation

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

Vertex AI BigQuery Cloud Functions Google Cloud Platform (GCP) Agentic AI Generative AI Large Language Models (LLMs) Multi-Agent Systems CI/CD Pipelines AgentSpace Machine Learning Software Testing ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

... generative components. * Explore and validate new approaches for retrieval, indexing, and ... Develop validation and testing frameworks ensuring compliance with safety and reliability standards.

CreditOne

AVP, Artificial Intelligence

Las Vegas, NV · On-site

Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit ... Oversee model validation, explainability, bias testing, and audit readiness. * Collaborate with ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

... Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning ... testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are popular job titles related to Generative Ai Testing jobs in Nevada?

For Generative Ai Testing jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Nevada look for?

The top searched job categories for Generative Ai Testing jobs in Nevada are:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Architect

Virtusa Corporation

Las Vegas, NV • On-site

$60.25 - $79.25/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title AI Architect - Agentic AI Solutions
Role Overview
We are seeking an experienced AI Architect to design and build next-generation agentic AI solutions for CRM and BPM platforms. The ideal candidate will have strong expertise in autonomous AI systems, Google Cloud AI services, software development lifecycle automation, and enterprise application integration.
This role will work closely with QA, DevOps, Product Engineering, and Business Teams to deliver scalable AI-driven solutions that enhance software development, testing, deployment, and operational efficiency.
Key Responsibilities
Architect and design agentic AI systems tailored for CRM and BPM solutions across the Software Development Life Cycle, including requirements management, backlog creation, development, testing, and deployment.
Lead the development of autonomous AI agents capable of reasoning, learning, decision-making, and collaboration throughout the testing and software delivery lifecycle.
Build, deploy, and optimize AI and machine learning pipelines using Google Cloud Platform services such as Vertex AI, BigQuery, and Cloud Functions.
Integrate AI agents with CI/CD pipelines, test management platforms, and developer environments.
Deploy, orchestrate, and manage AI agents using AgentSpace or similar agent management platforms.
Leverage agent lifecycle management, communication frameworks, and scalability capabilities to ensure reliable AI operations.
Collaborate with QA, DevOps, Product Engineering, and Business Teams to align AI capabilities with organizational objectives.
Define and implement best practices for agentic AI development, including governance, security, safety, interpretability, and performance monitoring.
Research and evaluate emerging technologies in Large Language Models (LLMs), Multi-Agent Systems, Autonomous Software Engineering, and Generative AI.
Required Skills and Experience
Proven experience as an AI Architect, Machine Learning Engineer, or similar role focused on Agentic AI or Autonomous Systems.Vertex AI
BigQuery
Cloud Functions
Google Cloud Platform (GCP)
Agentic AI
Generative AI
Large Language Models (LLMs)
Multi-Agent Systems
CI/CD Pipelines
AgentSpace
Machine Learning
Software Testing Automation
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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