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Generative Ai Engineer Jobs in Arizona (NOW HIRING)

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity. The AI Developer will be ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps ... Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn * Hands-on ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery. * Analyze large-scale ...

IntraEdge

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field Hands-on experience in building and deploying AI/ML models, focusing on Generative AI ...

Omega Hires

Java AI Developer

Phoenix, AZ · On-site

$50.25 - $65/hr

We are seeking a Senior Java Backend Developer with 8+ years of experience building enterprise-grade backend applications and mandatory hands-on experience with Generative AI (GenAI) technologies.

KLA Corporation

Full Stack AI Engineer

Phoenix, AZ · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ...

KLA Corporation

Full Stack AI Engineer

Chandler, AZ · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ...

Kla

Full Stack AI Engineer

Chandler, AZ

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ...

Orbotech

Full Stack AI Engineer

Phoenix, AZ · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and ... problem-solving skills * A builder mindset -- curious, resourceful, fast-moving, and focused on ...

Orbotech

Full Stack AI Engineer

Chandler, AZ · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ...

Kla

Full Stack AI Engineer

Phoenix, AZ · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ...

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Mentor engineering teams and contribute to AI architecture standards. * Support hiring and talent development for emerging AI roles. Required Qualifications * 2+ years architecting Generative AI ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Arizona

Generative Ai Engineer information

See Arizona salary details

$35.4K

$108K

$178.5K

How much do generative ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for generative ai engineer in Arizona is $107,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $141,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Arizona? The most popular types of Generative Ai Engineer jobs in Arizona are:
What are popular job titles related to Generative Ai Engineer jobs in Arizona? For Generative Ai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Arizona look for? The top searched job categories for Generative Ai Engineer jobs in Arizona are:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $107,973 per year, or $51.9 per hour.

AI Devs (Platform + BE)_Tempe,AZ

Photon

Anthem, AZ • On-site

Full-time

Re-posted 12 days ago

Job description


Summary
Photon is seeking a skilled AI Developer (Platform + Backend) to support the design, development, and implementation of AI-powered employee support platform.
The enterprise AI platform built to streamline support for frontline and HQ teams through intelligent automation, workflow orchestration, and AI-driven resolution experiences. The platform combines Generative AI, enterprise integrations, backend services, and workflow automation to improve operational efficiency and employee productivity.
The AI Developer will be responsible for building scalable backend services using Python and FastAPI, integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across the platform. The role requires strong hands-on experience in backend engineering, cloud-native development, API integrations, and modern AI application development.
Responsibilities
  • Design, develop, and maintain scalable backend services using Python and FastAPI.

  • Build and integrate AI-powered services, APIs, and workflow orchestration components.

  • Develop RESTful APIs and microservices for frontend, mobile, and enterprise integrations.

  • Integrate Generative AI services, LLMs, vector databases, and semantic search capabilities.

  • Build and implement agent-based workflows including multi-step execution, tool integrations, and AI-driven decision flows.

  • Work with enterprise systems including HR, IT, identity, and operational platforms.

  • Develop secure, scalable, and high-performance backend architectures.

  • Implement asynchronous processing, event-driven communication, and API integrations.

  • Collaborate with frontend, mobile, DevOps, product, and AI engineering teams.

  • Support cloud-native deployments using containers and Kubernetes.

  • Write clean, maintainable, and testable code with proper documentation and testing practices.

  • Participate in code reviews, debugging, monitoring, and production support activities.

  • Contribute to CI/CD pipelines, automated testing, and engineering best practices.

  • Implement logging and monitoring for AI workflows including request tracing, latency tracking, and error analysis.

Qualifications
Need to Have
  • 5+ years of experience in backend or platform engineering.

  • Strong hands-on expertise in Python and FastAPI development.

  • Experience building REST APIs, microservices, and backend integration services.

  • Experience working with Generative AI, LLM APIs, AI orchestration frameworks, or AI-powered applications.

  • Strong understanding of distributed systems and cloud-native application development.

  • Experience with databases such as PostgreSQL, MongoDB, Redis, or vector databases.

  • Knowledge of asynchronous programming and event-driven architectures.

  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.

  • Strong understanding of API security, authentication, and authorization mechanisms.

  • Familiarity with Git-based workflows and Agile development practices.

  • Strong debugging, problem-solving, and communication skills.

  • Experience with RAG pipelines, vector databases, and semantic search.

Good to Have
  • Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

  • Experience with Kafka, RabbitMQ, or messaging/event-streaming platforms.

  • Familiarity with Flutter/mobile integrations and frontend-backend communication.

  • Experience in QSR, retail, hospitality, or enterprise digital platforms.

  • Exposure to workflow automation and enterprise orchestration systems.

  • Experience with observability, monitoring, and logging tools.

  • Understanding of AI governance, prompt engineering, and AI evaluation frameworks.

Apply