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Agentic Ai Jobs in Nevada (NOW HIRING)

Virtusa Corporation

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

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 ...

Virtusa Corporation

Systems Architect

Las Vegas, NV · On-site

$232K/yr

... Agentic AI Applications LangGraph LangMem Large Language Model LLM Architecture Prompt Engineering Agentic AI Frameworks Banking Domain Accounting Domain Financial Automation Technology Leadership ...

Teradata Corporation (SE)

Staff AI Engineer

Carson City, NV · On-site

$169.40 - $254.10/hr

Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks. * Drive technical strategy and ...

Deloitte

Cyber - AWS Cloud Security - Manager

Las Vegas, NV · On-site

$106K - $143K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Support the agentic AI program - ensure data infrastructure is sequenced and delivered to unblock ML model development and AI agent deployment * Manage vendor relationships - Microsoft Fabric, data ...

Deloitte

Cyber Full Stack Manager

Las Vegas, NV · On-site

Building technical governance and guardrails for generative and agentic AI * Protecting sensitive data across cloud, collaboration, application, and enterprise environments * Implementing data ...

Allegiant

Principal Engineer, DevSecOps

Las Vegas, NV · On-site

$153 - $194.60/hr

The role also requires working knowledge of securing agentic AI workflows, including MCP server governance, AI gateway configuration, and trust boundaries for tool-using AI systems. The role requires ...

Allegiant

Principal Engineer, DevSecOps

Las Vegas, NV

$153K - $194K/yr

The role also requires working knowledge of securing agentic AI workflows, including MCP server governance, AI gateway configuration, and trust boundaries for tool-using AI systems. The role requires ...

Allegiant

Principal Engineer, DevSecOps

Las Vegas, NV · On-site

The role also requires working knowledge of securing agentic AI workflows, including MCP server governance, AI gateway configuration, and trust boundaries for tool-using AI systems. The role requires ...

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All JobsAgentic Ai JobsAgentic Ai Jobs in Nevada

Agentic Ai information

See Nevada salary details

$36

$66

$118

How much do agentic ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for agentic ai in Nevada is $66.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $101.83 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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

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

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

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

What cities in Nevada are hiring for Agentic Ai jobs?

Cities in Nevada with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Nevada as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $139,314 per year, or $67 per hour.

AI Architect

Virtusa Corporation

Las Vegas, NV • On-site

$60.25 - $79.25/hr

Full-time

Re-posted 22 days ago

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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