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Artificial Intelligence Developer Jobs in Arizona

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

To learn more visit: www.waabi.ai As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work ...

NSF's NOIRLab

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

NOIRLab is seeking an accomplished Principal AI Engineer to define and lead the organization's artificial intelligence strategy, technical architecture, and AI engineering capabilities. This highly ...

NOAO

Principal AI Engineer

Tucson, AZ

NOIRLab is seeking an accomplished Principal AI Engineer to define and lead the organization's artificial intelligence strategy, technical architecture, and AI engineering capabilities. This highly ...

AURA

Principal AI Engineer

Tucson, AZ · On-site

$179K - $226K/yr

NOIRLab is seeking an accomplished Principal AI Engineer to define and lead the organization's artificial intelligence strategy, technical architecture, and AI engineering capabilities. This highly ...

EITACIES Inc.

React Developer

Phoenix, AZ · On-site

$103K - $120K/yr

Job Summary : EITACIES Inc. is seeking an experienced React Developer to join their Agile ... Cybersecurity, Artificial Intelligence, Packaged Enterprise Applications, and Cloud-based ...

TPI Composites

Engineer, Development

Scottsdale, AZ · On-site +1

Develops numerical models to simulate the manufacturing processes and create engineering tools ... Experience with developing machine learning and artificial intelligence techniques is highly ...

TPI Composites

Engineer, Development

Scottsdale, AZ · On-site

Develops numerical models to simulate the manufacturing processes and create engineering tools ... Experience with developing machine learning and artificial intelligence techniques is highly ...

ClifyX

AWS & Azure Devops Engineer

Chandler, AZ · On-site

$53.75 - $73.75/hr

Our consulting capabilities include expertise in Cloud, Artificial Intelligence, Data Analytics and ... AWS & Azure Devops Engineer Location: Chandler, AZ (Onsite) Type: Full-time Must Have Technical ...

Kemper

SVP, Chief Technology Officer (CTO)

Phoenix, AZ · On-site +1

Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise Architecture & Technology Innovation The CTO is accountable for building and operating the secure, scalable ...

Pae

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by ... Artificial Intelligence/Machine Learning (AI/ML) to automate and enhance analysis, and the ...

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Showing results 21-40

All JobsArtificial Intelligence Developer JobsArtificial Intelligence Developer Jobs in Arizona

Artificial Intelligence Developer information

See Arizona salary details

$30.6K

$117.8K

$180.1K

How much do artificial intelligence developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for artificial intelligence developer in Arizona is $117,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,922.00 and $149,515.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

What are popular job titles related to Artificial Intelligence Developer jobs in Arizona? For Artificial Intelligence Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Developer jobs in Arizona look for? The top searched job categories for Artificial Intelligence Developer jobs in Arizona are:
What cities in Arizona are hiring for Artificial Intelligence Developer jobs? Cities in Arizona with the most Artificial Intelligence Developer job openings:
Artificial Intelligence Developer jobs near you
Infographic showing various Artificial Intelligence Developer job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $117,789 per year, or $56.6 per hour.

Oracle Developer (Fusion & R12)

AppZen, Inc.

Phoenix, AZ

$130K - $140K/yr

Full-time

Re-posted 7 days ago

Job description

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses.
 
At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work.
 
To learn more, visit us at www.appzen.com.

We are seeking a Oracle Development Lead — Procure-to-Pay (P2P) to lead the design, implementation, and evolution of AppZen’s Oracle Financials integrations.
 
This is a senior, hands-on role for an Oracle expert who operates at the intersection of product, engineering, and enterprise finance systems. You will architect scalable and reliable integrations between AppZen and Oracle environments, guide implementation best practices, and serve as the internal subject matter expert on Oracle Financials (AP).
 
You will play a critical role in ensuring seamless data flows, enterprise-grade architecture, and long-term scalability for our global customer base.
What You'll Do:
  • Serve as the Oracle Financials (AP) subject matter expert across the organization
  • Design scalable, secure, and high-performance integration architectures between AppZen and Oracle systems
  • Lead hands-on configuration within Oracle Financials (AP) and Approvals Management
  • Partner with Product Management to define Oracle-related requirements and contribute to PRDs
  • Collaborate with Engineering on integrations, reports, conversions, and extensions
  • Guide customers and internal stakeholders through requirements, solution design, testing, deployment, and optimization
  • Develop and execute regression testing strategies for patches, enhancements, and configuration updates
  • Provide architectural guidance aligned with enterprise integration best practices
  • Stay current with Oracle Cloud Financials and Oracle Integration Cloud (OIC) capabilities
What We're Looking For:
  • Applicants must have permanent authorization to work in the U.S.. Visa sponsorship is not available for this role
  • 10+ years of experience implementing, integrating, and/or supporting Oracle Financials (AP)
  • Deep expertise in Oracle Payables and Approvals Management
  • 3+ years of experience with Oracle Cloud Financials, including 2–3 full lifecycle implementations preferred
  • Strong experience with Oracle Integration Cloud (OIC) highly preferred
  • Experience designing enterprise integrations across ERP and SaaS systems
  • Proficiency with SQL tools such as TOAD, SQL Developer, or SQL*Plus
  • Understanding of enterprise architecture principles and data integration patterns
  • AWS knowledge is a plus
  • Strong communication and stakeholder management skills
  • Self-driven with a commitment to implementation excellence and on-time delivery
AppZen is committed to fair and equitable compensation practices.
 
The base pay range for this role is posted above. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
 
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.
 
You can find our Privacy Notice linked on the bottom of our appzen.com website.

We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.