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Ai Programmer Jobs (NOW HIRING)

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will ...

Falconer AI

Founding AI Engineer

San Francisco, CA

Founding Ai Engineer At Falconer, we're transforming how engineers create, access, and share knowledge with each other and their AI agents. We're looking for a Founding AI Engineer to help us build ...

Arize AI

Forward Deployed AI Engineer, East

New York, NY · On-site +1

$125K - $175K/yr

Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to ...

OSI Engineering, Inc.

Senior AI Engineer

Cupertino, CA · On-site +1

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and conversational intelligence tools in a fast-paced, collaborative environment. This role focuses on developing ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Role: Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be ...

h2o.ai

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

About This Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

Numos AI

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We're looking for a Senior AI engineer to build the core intelligence behind AI teammates for finance. You'll develop systems that go beyond copilots and actually execute work, combining reasoning ...

Hilbert's AI

Lead AI Engineer

San Francisco, CA · On-site

$120K - $159K/yr

We're looking for a Lead AI Engineer who can own the technical direction of Hilbert's AI stack, ship production-grade systems hands-on, and elevate a growing engineering team - all with the ownership ...

h2o.ai

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

About This Opportunity We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

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How much do ai programmer jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for ai programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 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 $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role in artificial intelligence, such as lead AI researcher, machine learning director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve strategic decision-making, managing large teams, and overseeing AI development in large organizations or tech companies, with compensation reflecting experience and impact. Such roles are rare and usually require extensive industry experience, advanced degrees, and a strong track record of innovation.

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 dexterity, making them more resilient to automation.

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 much do AI programmers 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 in tech hubs or large companies.

How can I become an AI programmer?

To become an AI programmer, you should develop strong skills in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and gain knowledge of algorithms, data structures, and mathematics including 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.

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What cities are hiring for Ai Programmer jobs? Cities with the most Ai Programmer job openings:
What are the most commonly searched types of Ai Programmer jobs? The most popular types of Ai Programmer jobs are:
Who are the top companies hiring for Ai Programmer jobs? The top employers for Ai Programmer jobs are:
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Ai Programmer jobs near you
Infographic showing various Ai Programmer job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Programmer Analyst, AI Team Lead

Programmer Analyst, AI Team Lead

Southern Utah University

Cedar City, UT • On-site

$75K - $85K/yr

Full-time

Medical, Dental, Vision, Life

Posted 5 days ago

Southern Utah University rating

5.5

Company rating: 5.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

513th of 536 rated colleges and universities

Job description

Salary: $75,000.00 - $85,000.00 Annually
Location : Cedar City, UT
Job Type: Full-time Staff
Job Number: 202600079
Division: Finance and Administration
Department: Information Technology
Opening Date: 06/09/2026
Closing Date: 6/24/2026 11:59 PM Mountain
FLSA: Exempt
Position Summary
Under the supervision of the Director of Administrative Systems, leads SUU's AI engineering practice and serves as the University's subject-matter expert on artificial intelligence. Directs the architecture, development, validation, and deployment of AI-powered applications supporting the University's administrative systems and AI initiatives. Defines the team's roadmap and priorities, oversees the integration of AI solutions into existing systems and workflows, and ensures scalability, security, reliability, and compliance with data privacy regulations and ethical standards. Contributes directly to codebases as a functional software engineer.Supervises and mentors the student programmer squad (approximately 10 students) and serves as the technical escalation point when student programmers assist campus departments on AI tasks. Acts as SUU's campus-facing AI expert and evangelist - partnering with the Center for Teaching Innovation (CTI) and other campus units on AI training direction, serving as a technical escalation resource for emerging campus AI support efforts and peer-champion programs, contributing to institutional AI policy, helping dispel faculty and staff apprehension while championing practical and responsible use, and representing SUU on system-wide AI initiatives
Essential Functions
  • AI engineering and software development. Direct the architecture, coding, development, validation, and deployment of AI-powered applications supporting University administrative systems and AI initiatives. Build and integrate AI/ML solutions (e.g., agentic systems, LLM integration, retrieval, automation) into existing workflows using the department's modern stack (Python, FastAPI, React, PostgreSQL). Ensure scalability, security, and reliability of AI systems; implement best practices for AI model selection, deployment, monitoring, and maintenance; ensure compliance with data privacy regulations (including FERPA) and emerging institutional AI ethics standards. Contribute directly to codebases as a hands-on engineer, including architectural decisions, code reviews, technical standards, automated tests, documentation, and deployment processes.
  • Team leadership and mentorship of student programmers. Define the team's roadmap, success metrics, and priorities in collaboration with the Director and Assistant Director. Onboard new student programmers; assign and prioritize work; conduct code reviews; run standups and sprint demos; mentor students and identify and develop squad leads. Ensure student produced code meets departmental quality and security standards before merging. Serve as the primary technical point of contact for student programmers on day-to-day work, and as the escalation resource when student programmers assist campus departments on AI tasks.
  • Campus AI subject-matter expert and evangelist. Serve as SUU's campus-facing AI resource. Provide technical escalation support for emerging campus AI support efforts and peer champion programs; build trust and partnership with faculty, staff, and administrators; help dispel apprehension around AI while championing practical and responsible use; identify and 20%surface high-leverage AI opportunities across departments. Coach and equip student programmers and other campus AI advocates to extend that reach.
  • AI strategy, policy, and external representation. Advise CTI and other University units on AI training direction and curriculum needs. Contribute to drafting and maintaining institutional AI policy and responsible-use guidelines. Represent SUU on system-wide and inter-institutional AI initiatives as designated (e.g., the University of Utah AI Supercomputer executive steering committee).
  • Stakeholder collaboration. Collaborate with system users, campus stakeholders, and department leadership to gather requirements, validate functionality, and troubleshoot software applications. Translate stakeholder needs into well-scoped tickets appropriate for student programmers. Coordinate with the Assistant Director and full-time engineering team on dependencies, integrations, and handoffs.
  • Administer the student programmer program, including recruitment coordination with campus departments, interviewing candidates, running automated onboarding and offboarding processes, and maintaining program documentation.
  • Other duties as assigned.

Education & Experience
Minimum Qualifications
  • Bachelor's degree in Computer Science or closely related field (e.g., software engineering, computer engineering, information systems, data science).
  • Demonstrated software development experience using modern web frameworks.
  • Experience designing, building, or integrating AI agentic systems and LLM-based applications in production (beyond prompt usage).
  • Hands-on AI programming experience (e.g., agent frameworks, tool use, retrieval-augmented generation, model integration, AI-assisted development workflows).
  • Experience deploying, monitoring, and maintaining AI/ML solutions integrated with existing systems and workflows.
  • Experience leading or mentoring student programmers, junior developers, or technical teams.
  • Strong interpersonal skills and an outgoing communication style; demonstrated ability to build trust and work effectively with nontechnical audiences, including faculty and senior administrators.
  • Strong written and verbal communication skills, including the ability to explain AI concepts to a general audience and to provide clear technical guidance to junior developers.
  • Working knowledge of data privacy and ethical considerations in AI projects.
  • Willingness to maintain current knowledge and adapt as AI tooling evolves rapidly. Ability to relate well with staff, faculty, students, administrators, and other IT staff.
  • Ability to work quickly and accurately, manage a diverse workload, and complete tasks in a timely manner.
Preferred Qualifications
  • Professional software engineering experience (industry, research lab, or comparable production-software role) - strongly preferred, particularly for candidates whose degree is in a field other than Computer Science.
  • Experience presenting, teaching, or training on AI or technical topics to mixed audiences (faculty, staff, students).
  • Experience contributing to AI policy, governance, or responsible-AI guidelines.
  • Experience using AI tools in software development (e.g., Claude Code, Copilot, or similar AI-assisted development tools).
  • Experience with Python, FastAPI, React, and PostgreSQL.
  • Experience conducting code reviews and establishing development standards.
  • Knowledge of SQL, PL/SQL, Oracle, macOS, Linux, and Docker. Familiarity with Git-based workflows, CI/CD pipelines, and modern software development practices.
  • Knowledge of IT security and its application in the higher education environment.
  • Experience integrating systems via data push/pull processes.
  • Familiarity with higher education environments and faculty culture.
  • Professional software engineering experience is strongly preferred in addition to the educational requirement.

Supplemental Information
This position is contingent on funding.
Due to recent changes in H1B visa fees, Southern Utah University is no longer able to sponsor international faculty and staff that require an H1B visa and are currently living outside of the United States.
Southern Utah University does not discriminate on the basis of race, religion, color, national origin, citizenship, sex (including sex discrimination and sexual harassment), sexual orientation, gender identity, age, ancestry, disability status, pregnancy, pregnancy-related conditions, genetic information, military status, veteran status, or other bases protected by applicable law in employment, treatment, admission, access to educational programs and activities, or other University benefits or services. For more information or contact information, please visit
In accordance with Utah State Code 53A-3-410, appointment to this position is contingent upon the successful passing of a background check.
We offer a comprehensive benefits package to full-time employees including:
  • High Deductible Health Plans
    • Health Savings Account
  • Traditional Health Plans
    • Flexible Spending Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
    • Basic
    • Supplemental
    • Long-term Disability
  • Retirement Options:
    • TIAA (14.2% Contribution)
    • Fidelity (14.2% Contribution)
    • URS- if eligible (10% Contribution)
  • Tuition Waivers
  • Vacation and Sick Leave
  • Paid Parental Leave

To learn more details, visit our , and view total compensation estimates

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