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Ai Programmer Jobs in Arizona (NOW HIRING)

We are looking for Senior Full-Stack AI Engineers (3-5 years) with strong hands-on experience in AI/ML engineering, Python, LLMs, APIs, and agentic solutions . * Azure AI Engineer - Strong experience ...

AI Engineer Job Location: Phoenix, AZ | Onsite Description: AgreeYa is a global Systems Integrator and is seeking an experienced AI Engineer to join our growing team. We are seeking a highly skilled ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

As NOIRLab's first dedicated AI engineering leader, you will have a unique opportunity to shape how AI is adopted across one of the world's premier astronomical research organizations. You will ...

As NOIRLab's first dedicated AI engineering leader, you will have a unique opportunity to shape how AI is adopted across one of the world's premier astronomical research organizations. You will ...

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

As NOIRLab's first dedicated AI engineering leader, you will have a unique opportunity to shape how AI is adopted across one of the world's premier astronomical research organizations. You will ...

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

As NOIRLab's first dedicated AI engineering leader, you will have a unique opportunity to shape how AI is adopted across one of the world's premier astronomical research organizations. You will ...

AI Engineer II

Phoenix, AZ · On-site

$96K - $132K/yr

POSITION SUMMARY McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering and Intelligence team. In this role, you will design, build, and support AI-powered applications ...

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

POSITION SUMMARY McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering and Intelligence team. In this role, you will design, build, and support AI-powered applications ...

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

POSITION SUMMARY McCarthy is seeking a full-time AI Engineer II who will be part of the Engineering and Intelligence team. In this role, you will design, build, and support AI-powered applications ...

AI Engineer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and agentic systems that power EP's intelligent product suite - including Rosey Intelligence, Project ...

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and agentic systems that power EP's intelligent product suite - including Rosey Intelligence, Project ...

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Ai Programmer information

See Arizona salary details

$11

$36

$64

How much do ai programmer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ai programmer in Arizona is $36.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $47.93 per hour, depending on experience, location, and employer.

What does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

How do you become an AI programmer?

To become an AI programmer, you typically need a strong foundation in programming languages such as Python or C++, knowledge of machine learning frameworks like TensorFlow or PyTorch, and a background in computer science, mathematics, or data science. Gaining experience through projects, online courses, or certifications in AI and machine learning is also important for developing relevant skills.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the most commonly searched types of Ai Programmer jobs in Arizona?

The most popular types of Ai Programmer jobs in Arizona are:

What are popular job titles related to Ai Programmer jobs in Arizona?

For Ai Programmer jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Ai Programmer jobs?

Cities in Arizona with the most Ai Programmer job openings:

Infographic showing various Ai Programmer job openings in Arizona as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 61% Physical, 4% Hybrid, and 35% Remote job distribution, with an average salary of $76,633 per year, or $36.8 per hour.

AI Engineer

Scottsdale, AZ • On-site

Aptino
IT Services • 51 - 200 employees

Other

Posted 5 days ago


Job description

We are looking for Senior Full-Stack AI Engineers (3–5 years) with strong hands-on experience in AI/ML engineering, Python, LLMs, APIs, and agentic solutions.

  • Azure AI Engineer – Strong experience with Azure AI, Azure AI Foundry, Azure OpenAI, and Microsoft Copilot Studio.

Key Responsibilities & Skills:

  • Build and deploy AI agents, automation workflows, APIs, and production-ready AI solutions.
  • Develop prompt/agent engineering, RAG, retrieval & grounding, and evaluation frameworks.
  • Integrate models, APIs, and enterprise systems across AWS and Azure.
  • Implement testing, debugging, observability, and DevSecOps practices.
  • Support deployments, prototypes, production solutions, and technical documentation.
  • Design scalable enterprise AI/agentic workflows and integration patterns.