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Ai Programmer Jobs in Arizona (NOW HIRING)

AI Engineer

Phoenix, AZ ยท 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

$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 ยท 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 ...

Description Program Manager - AI Engineering Charlotte, NC This role serves as a strategic partner to the Head of AI Engineering, acting as an extension of leadership across a rapidly growing ...

Description Program Manager - AI Engineering Charlotte, NC This role serves as a strategic partner to the Head of AI Engineering, acting as an extension of leadership across a rapidly growing ...

Principal AI Engineer

Tucson, AZ ยท 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 ยท 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 ...

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 ...

Program Manager - AI Engineering

Phoenix, AZ ยท On-site

$122K/yr

Program Manager - AI Engineering Charlotte, NC This role serves as a strategic partner to the Head of AI Engineering, acting as an extension of leadership across a rapidly growing portfolio of AI ...

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 ...

AI Engineer

Tempe, AZ ยท On-site

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 ...

AI Engineering Leader

Tempe, AZ ยท On-site

$98K - $129K/yr

AI Engineering Leader Locations: Austin, TX | Charlotte, NC | New York, NY | Tempe, AZ | San Diego, CA, (hands on AI) Duration: 12 Months Contract Role Overview We are seeking a highly hands-on AI ...

Lead AI Engineer

Phoenix, AZ ยท On-site

$147K - $202K/yr

Lead AI Engineer Location: Denver, CO; San Francisco, CA; Phoenix, AZ; Chicago, IL; or Dallas, TX. Other Prologis office locations may be considered. A day in the life The Lead AI Engineer builds ...

AI Engineer

Phoenix, AZ ยท On-site

AI Engineer Job Location: Phoenix, AZ Job Type: Contract * Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone ...

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Ai Programmer information

See Arizona salary details

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$36

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How much do ai programmer jobs pay per hour?

As of Jul 28, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

Which 3 jobs will survive AI?

AI programmers, healthcare professionals, and skilled tradespeople are expected to continue thriving as their roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve creativity, emotional intelligence, or physical tasks, making them more resilient to automation. Continuous learning and adapting to new tools can further enhance job security in these fields.

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, deep learning, or specific programming languages may command higher salaries.

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.

How can I become an AI programmer?

To become an AI programmer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in mathematics, particularly linear algebra and statistics. Earning a relevant degree in computer science, data science, or related fields and gaining practical experience through projects or internships are also important steps.

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.

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 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 July 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $76,633 per year, or $36.8 per hour.

AI Engineer

EQL Tech

Phoenix, AZ โ€ข On-site

$125K - $175K/yr

Full-time

Posted 15 days ago


Job description

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 own the brand feel of the company and the movement they're building.
About the Company & The Mission
EQL Tech is proud to represent a highly ambitious, well-funded startup that has raised $16M from top-tier VCs and angels. The company is building the financial rails to help families access new State education funds (known as ESAs or School Choice Funds).
The $900B US Public Education budget is being opened up for parents to take control of their portion, which averages $7.5k per kid per year. Ambitious homeschool parents are already using these funds to piece together their dream education experience. Helping them access these funds is Step 1 in the journey to build the next-gen education system. The company treats this as their life's work and has already rejected an acquisition offer because they care about this being done right.
The Team
You will be joining an in-person company, working together in the office.
  • The Founders: The founders are engineers who have run their own alternative school together. One previously worked as a Quant at Goldman Sachs, and the other built the computer vision system for the largest smart warehousing company globally, serving 1M customers/day at age 19.
  • The Core Team: You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments Engineer from Microsoft and Goldman Sachs. The team also includes the former Deputy Director at Arizona's ESA department and leading school choice advocates.
The Role: AI Engineer
As AI Engineer, you will work directly under the Head of AI - a researcher with experience at one of the world's leading ML research labs - to build and ship the intelligence layer that powers the product. AI is not a feature here; it is the core of how families get instant eligibility decisions, and how the company scales compliance without scaling headcount. You will own AI products end-to-end, from first prototype to production.
As AI Engineer, you will:
  • Build MVPs from scratch: take new AI products from zero to real users - both consumer-facing and internal tooling - with minimal hand-holding and a high bar for quality
  • Optimise accuracy and latency: tune LLM and VLM pipelines, and classical ML models where appropriate, to meet the standards a regulated fintech product demands
  • Create robust evals: build evaluation frameworks that make AI behaviour measurable, reproducible, and improvable over time - so regressions are caught before users feel them
  • Read data and fix mistakes: diagnose real-world AI failures by going directly into the data, making ad-hoc corrections, and closing the loop fast
  • Build endpoints and tooling: surface AI capabilities to teammates in reliable, well-documented ways so the whole team can move faster without depending on you for every query
  • Work across the full AI stack: primarily LLM and VLM-based in early stages, with scope to fine-tune or train models from scratch as individual products mature and optimisation demands it

Requirements
Your Profile
  • Biased toward simplicity: you know that managing many AIs gets complex fast - you resist unnecessary abstraction and build systems that are easy to reason about and maintain
  • Values old and new AI equally: you recognise the tradeoffs between prompting, fine-tuning, and training from scratch - and you pick the right tool for the job rather than defaulting to the latest trend
  • User-obsessed: AI is the blocker to a good number of AHA moments in the product - you keep the end-user in mind in every technical decision, not just the benchmark
  • No task beneath you: reading data, making database edits to correct AI mistakes, writing evals for edge cases - you treat this as essential product work, not a distraction from "real" engineering
  • Comfortable with ambiguity: you can scope your own work, define your own quality bar, and ship without waiting to be unblocked
  • Able to work in-person with the team in San Francisco, CA or Phoenix, AZ (visa support available)
  • Experience with LLM APIs, vector databases, fine-tuning pipelines, or evaluation frameworks is a strong plus

Benefits
Commitment, Compensation & Benefits
This will be a big commitment, and we're aiming high. It needs to be something you are energised about taking on, or this isn't the team for you.
  • Competitive Salary: $125,000 - $175,000 per year, commensurate with experience.
  • Generous Founding Equity: We compensate you well with equity.
  • Top-Tier Backing: We've raised $16M from top-tier VCs and angels.
  • Relocation Support: You are willing to relocate to San Francisco, CA, or Phoenix, AZ, and travel to visit customers. We're an in-person company and are in the office together.
  • Comprehensive Visa Sponsorship: If you do not have a visa, we can support you.
  • Unmatched Impact: The rare opportunity to directly shape how the $900B US Public Education budget is being opened up for parents to take control of their portion (avg. $7.5k/kid/year).