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Genai Engineer Jobs in Arizona (NOW HIRING)

IntraEdge

Full Stack Engineer

Phoenix, AZ

Development is accelerated using GenAI tools for code generation, optimization, and documentation ... Contribute to improving developer productivity and engineering excellence using AI-driven ...

Deloitte

AI Engineer Consultant

Tempe, AZ · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ

$98K - $129K/yr

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tempe, AZ

$100K - $137K/yr

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

... AI Developer to enhance their Digital Center of Excellence. This role involves designing and ... Responsibilities : • Design, build, and deploy end-to-end GenAI solutions and agentic solutions ...

Peraton

Sr Cybersecurity Engineer / Secret

Chandler, AZ · On-site

$112K - $179K/yr

Support security engineering for AI/GenAI-enabled systems. * Provide Tier III engineering support and technical leadership during complex SOC incidents. * Mentor engineers and support continuous SOC ...

Peraton

Sr Cybersecurity Engineer / Secret

Chandler, AZ

$112K - $179K/yr

Support security engineering for AI/GenAI-enabled systems. * Provide Tier III engineering support and technical leadership during complex SOC incidents. * Mentor engineers and support continuous SOC ...

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Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

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

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Arizona? For Genai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Arizona look for? The top searched job categories for Genai Engineer jobs in Arizona are:
What cities in Arizona are hiring for Genai Engineer jobs? Cities in Arizona with the most Genai Engineer job openings:
Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Full Stack Engineer

IntraEdge

Phoenix, AZ

Contractor

Re-posted 26 days ago

Job description

This role is about
Designing and building scalable, enterprise-grade full stack applications, leveraging modern technologies and GenAI to accelerate development, improve code quality, and enable intelligent, reusable solutions across backend and frontend systems.
  • Applications are built with a scalable, API-first architecture using Java, REST, and GraphQL
  • Systems are designed to handle large-scale data processing and Big Data querying
  • Development is accelerated using GenAI tools for code generation, optimization, and documentation
  • Solutions are reusable, modular, and aligned with enterprise-wide standards
  • CI/CD pipelines enable continuous integration, deployment, and validation with minimal manual effort
  • Systems are designed with performance, security, and maintainability as core principles
Role and Responsibility
  • Design and build scalable full stack applications across backend and frontend layers
  • Develop and maintain REST APIs and GraphQL services for enterprise use cases
  • Build and optimize data-intensive applications using Big Data querying techniques
  • Leverage Vert.x or similar reactive frameworks for high-performance, asynchronous systems
  • Use GenAI tools (e.g., GitHub Copilot, other AI dev platforms) to accelerate development and improve code quality
  • Ensure applications follow software development best practices (clean architecture, design patterns, testing)
  • Build modular, reusable components that can be adopted across teams
  • Integrate applications with CI/CD pipelines (GitHub Actions, Jenkins, etc.) for continuous delivery
  • Collaborate with cross-functional teams (product, architecture, QA) to align with enterprise standards and real user needs
  • Analyze existing codebases across teams to identify gaps, standardize approaches, and improve overall system design
  • Contribute to improving developer productivity and engineering excellence using AI-driven approaches
Skillset
  • Strong hands-on experience in Java development
  • Expertise in building REST APIs and GraphQL services
  • Experience with Big Data querying and handling large datasets
  • Hands-on experience with Vert.x or similar reactive programming frameworks
  • Strong understanding of full stack development (backend + UI)
  • Experience with frontend technologies (React, Angular, or similar)
  • Familiarity with GenAI tools (GitHub Copilot or similar AI-assisted development platforms)
  • Experience with CI/CD pipelines (GitHub Actions, Jenkins, etc.)
  • Strong knowledge of software design principles, system design, and microservices architecture
  • Experience working with distributed systems and scalable architectures
  • Understanding of code quality, testing strategies, and performance optimization
  • Ability to work across teams and align with enterprise-wide standards
Preferred
  • Prior American Express experience
  • Experience working in enterprise-scale environments with multiple teams and systems
  • Exposure to AI-driven development practices or intelligent engineering workflows

Education:Employment Type: CONTRACTOR
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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