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Ai Programmer Jobs in Arizona (NOW HIRING)

American Express

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

As an AI Engineer III - Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You ...

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job details Job Role Specialist Programmer Career Role Specialist Programmer Work Location Phoenix ... Manage the entire AI development lifecycle, from data pre-processing and model training to ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job details Job Role Specialist Programmer Career Role Specialist Programmer Work Location Phoenix ... Manage the entire AI development lifecycle, from data pre-processing and model training to ...

Infosys Limited Digital

AI Engineer

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job details Job Role Specialist Programmer Career Role Specialist Programmer Work Location Phoenix ... Manage the entire AI development lifecycle, from data pre-processing and model training to ...

Infosys Limited

AI Engineer

Phoenix, AZ · On-site

$120 - $165/hr

  • Medical

  • Retirement

... AI|Agent Engineering Technical Skills 3 Technical Skills 4 Technical Skills 5 Technology|DevOps ... In the assigned Job Role of Specialist Programmer, your Area Of Responsibility will be as below:

New

American Express

Senior AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior AI Engineer I - Agentic AI Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with ...

Cognizant Technology Solutions

AI Engineer

Mesa, AZ · On-site

$65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Overview Cognizant is seeking a highly skilled and innovative AI Engineer to join our AI & Data Science team. The ideal candidate will have exposure in Python, and SQL and will be ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Confiz LLC

Principal AI Engineer

Phoenix, AZ · On-site

Confiz is seeking a Principal AI Engineer in the Phoenix AZ market, who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and ...

New

Wise Pelican

AI Engineer

Scottsdale, AZ · On-site

They are hiring a dedicated AI Engineer who will build user-facing features using modern frameworks and AI-assisted development tools, collaborating with designers and engineers to deliver impactful ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Confiz is seeking a Principal AI Engineer in the Phoenix AZ market, who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and ...

American Express

AI Engineer III - Agentic AI

Phoenix, AZ · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Role As an AI Engineer III - Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

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 ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

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 ...

Photon

AI Devs (Platform + BE)_Tempe,AZ

Anthem, AZ · On-site

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 ...

Photon

AI Dev (Features + CHQ)_Tempe,AZ

Anthem, AZ · On-site

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 ...

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.

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All JobsAi Programmer JobsAi Programmer Jobs in Arizona

Ai Programmer information

See Arizona salary details

$11

$36

$64

How much do ai programmer jobs pay per hour?

As of Aug 19, 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 job categories do people searching Ai Programmer jobs in Arizona look for?

The top searched job categories for Ai Programmer jobs in Arizona are:

What cities in Arizona are hiring for Ai Programmer jobs?

Cities in Arizona with the most Ai Programmer job openings:

Ai Programmer jobs near you
Infographic showing various Ai Programmer job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $76,633 per year, or $36.8 per hour.

AI Engineer III

American Express

Phoenix, AZ • On-site

$57 - $76.75/hr

Full-time

Re-posted 9 days ago

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services

Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. 

The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. 

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. 

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences-while meeting the high standards for security, explainability, reliability, and compliance required in financial services. 

We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow. 


 

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

What We're Looking For 

  • 4+ years of professional software engineering experience. 

  • Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). 

  • Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript). 

  • Familiarity with APIs, basic cloud concepts, and modern development practices. 

  • Interest in agentic AI systems, autonomy, and AI-assisted development workflows. 

  • Willingness to learn, take feedback, and grow technical ownership over time. 

  • Comfort working in collaborative, cross-functional teams. 

  • A strong customer mindset and curiosity about real-world problem solving. 

Preferred Qualifications 

  • Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. 

  • Internship or early-career experience in fintech or other regulated environments. 

  • Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling. 

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. 

As an AI Engineer III - Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. 

You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering. 

This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers. 

What You'll Do 

  • Contribute to the design and implementation of LLM-powered and agentic product features. 

  • Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers. 

  • Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. 

  • Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. 

  • Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. 

  • Collaborate closely with product and design partners, learning to translate customer needs into technical solutions. 

Technical Environment 

  • We don't hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI. 

Core engineering stack 

  • Languages: Python, Go, TypeScript 

  • Cloud and infrastructure: AWS and/or GCP, Kubernetes 

  • APIs and services: REST, gRPC 

  • Distributed systems: event-driven architectures, including Kafka 

Agentic AI and ML  

  • Commercial and open-source LLMs integrated into agentic workflows 

  • Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation 

  • Schema validation and structured data handling 

AI-assisted development 

  • Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring 

  • Learning how to apply these tools responsibly while maintaining production-quality standards 

  • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment. 

What American Express employees say

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