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Ai Software Engineer Jobs in Arizona (NOW HIRING)

Principal Software Engineer

Phoenix, AZ · On-site +1

$134K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Principal Software Engineer serves as a technical authority and innovation leader, shaping ... AI-Driven Development & Agentic Engineering * Leverage AI-assisted development tools (e.g., GitHub ...

Principal Software Engineer

Phoenix, AZ · On-site +1

$134K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Principal Software Engineer serves as a technical authority and innovation leader, shaping ... AI-Driven Development & Agentic Engineering * Leverage AI-assisted development tools (e.g., GitHub ...

Senior Software Engineer

Tucson, AZ

$115K - $152K/yr

* Architect and lead development of agentic AI systems for scientific research, including multi-agent ... Establish and maintain industry-grade software engineering practice across the research group ...

Senior Software Engineer

Tucson, AZ · On-site

$117K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Senior Software Engineer Posting Number req26695 Department Pharmacy Practice and Science ... Architect and lead development of agentic AI systems for scientific research, including multi-agent ...

Advanced Software Engineer

Phoenix, AZ · On-site

  • Medical

  • Retirement

The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI ... * 3+ years of professional software engineering experience * Proficiency in at least one ...

Senior Software Engineer

Tucson, AZ · On-site

$117K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Senior Software Engineer Posting Number req26695 Department Pharmacy Practice and Science ... Architect and lead development of agentic AI systems for scientific research, including multi-agent ...

Sr Software Engineer

Phoenix, AZ · On-site

$119K - $157K/yr

Job Title: Sr Software Engineer Location: Phoenix AZ (Hybrid) Mandatory Skills: * Angular * Node ... AI Responsibilities: * Bachelor's degree in Computer Science, Information Systems, Engineering, or ...

Description Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our ... Identify where AI agents can take over routine, high-volume, or pattern-driven steps in financial ...

Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our Technology ... Identify where AI agents can take over routine, high-volume, or pattern-driven steps in financial ...

Senior Software Engineer

Phoenix, AZ · On-site +1

$121K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to use AI/ML or generative AI to solve security problems, such as automated threat ... Familiarity with software engineering roadmaps and integrating capabilities across products. Why ...

New

Senior Software Engineer

Tucson, AZ · On-site

$118 - $153/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Architect and lead development of agentic AI systems for scientific research, including multi-agent ... Establish and maintain industry-grade software engineering practice across the research group ...

Showing results 21-40

Ai Software Engineer information

See Arizona salary details

$59.2K

$137.5K

$191.5K

How much do ai software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai software engineer in Arizona is $137,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

Can a software engineer work as an AI Software Engineer?

A software engineer can transition to an AI Software Engineer role by gaining expertise in machine learning, deep learning, and AI frameworks such as TensorFlow or PyTorch. Strong programming skills, especially in Python, and knowledge of data structures and algorithms are essential for this specialization.

What are the key skills and qualifications needed to thrive as an AI software engineer?

To thrive as an AI Software Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often backed by a relevant degree and experience with programming languages like Python or C++. Familiarity with frameworks such as TensorFlow or PyTorch, and experience deploying models in cloud environments or obtaining certifications in AI/ML, are highly valued. Strong problem-solving abilities, communication, and teamwork are important soft skills to bridge technical gaps and collaborate effectively. These skills and qualities enable the design, development, and deployment of effective AI solutions in dynamic, results-driven environments.

What does an AI software engineer do?

An AI Software Engineer designs, develops, and maintains software applications that incorporate artificial intelligence and machine learning technologies. They work with algorithms, data models, and programming languages such as Python, TensorFlow, and PyTorch to build intelligent systems. Their responsibilities include data preprocessing, model training, optimization, and deployment. Additionally, they collaborate with data scientists and software engineers to integrate AI solutions into real-world applications.

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

The most popular types of Ai Software Engineer jobs in Arizona are:

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

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

What job categories do people searching Ai Software Engineer jobs in Arizona look for?

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

What cities in Arizona are hiring for Ai Software Engineer jobs?

Cities in Arizona with the most Ai Software Engineer job openings:

Infographic showing various Ai Software Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,475 per year, or $66.1 per hour.

Forward Deployed Engineer (FDE) - Customer Facing Software & AI

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 9 days ago


Job description

Job Title: Forward Deployed Engineer (FDE) - Customer Facing Software & AI About the Role Are you a hands-on Software Engineer who loves solving complex problems and delivering measurable impacts for clients. As a Forward Deployed Engineer (FDE), you'll work directly with strategic customers to design, build, and deploy innovative software and AI solutions. You will act as the technical face of our company, bridging the gap between deep technical engineering and customer-centric business value.

What You'll Do Solution Architecture: Lead architecture and design decisions for end-to-end solutions spanning backend, frontend, data pipelines, and AI/ML models. Production Engineering: Develop production-grade applications that transform data into actionable insights for enterprise users. Client Engagement: Collaborate closely with client teams-from Engineers to Executives-to deeply understand their unique business challenges.

Framework & Collaboration: Partner with internal teams to ensure seamless solution delivery while contributing to reusable frameworks and best engineering practices. What We're Looking For Full-Stack Engineering: Strong software engineering skills across backend, frontend, and system integration. Technical Stack: Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.

AI & Data Experience: Experience designing, building, and deploying production applications with data and AI/ML components. Modern Tooling: Familiarity with integrating AI APIs and leveraging AI-assisted development tools. Client-Facing Impact: Proven ability to deliver technical solutions that drive measurable outcomes for enterprise clients.

Communication: Excellent communication skills and the ability to engage confidently with diverse stakeholders. Mindset: Extreme curiosity, adaptability, and a genuine passion for learning new technologies.