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Junior Ai Developer Jobs in Arizona (NOW HIRING)

Synergie Systems

Junior AI Engineer

Phoenix, AZ · On-site

Junior AI Engineer Location: Phoenix, AZ Job Type: Only W2 · Develop and deploy AI/ML models for business applications. · Build Generative AI and LLM-based applications using models such as GPT ...

New

Technologent

Junior Full Stack Developer

Phoenix, AZ · On-site

$66K - $86K/yr

We are looking for a Junior Software Developer to contribute to application development, backend ... Exposure to AI/ML concepts and technologies. * Understanding of Agile development practices and ...

New

Technologent

Junior Full Stack Developer

Phoenix, AZ · On-site

$66K - $86K/yr

We are looking for a Junior Software Developer to contribute to application development, backend ... Exposure to AI/ML concepts and technologies. * Understanding of Agile development practices and ...

New

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... junior engineers. • Expert level expertise with NVIDIA's physics-accelerated AI tools such as Physics NEMO, Modulus, Warp, or similar platforms for physics-informed deep learning We Value • ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ

$100K - $137K/yr

Mentor, motivate, and coach junior members on technical best practices and inspire professional ... SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ...

Pwc

CTIO AI Engineering Manager

Phoenix, AZ

$73K - $244K/yr

... junior staff while upholding remarkable standards of quality and innovation in deliverables ... in AI engineering or related field What Sets You Apart - Master's Degree in Computer Engineering ...

Pwc

US Tech - AI Engineering Manager

Phoenix, AZ

$73K - $244K/yr

Responsibilities - Mentor junior engineers and foster their growth - Maintain security and scalability of AI-powered solutions - Collaborate with cross-functional teams to achieve project goals ...

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Junior Ai Developer information

See Arizona salary details

$22.4K

$82.9K

$128.1K

How much do junior ai developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior ai developer in Arizona is $82,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $81,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI developer?

To thrive as a Junior AI Developer, you need a solid understanding of programming languages such as Python or Java, fundamental knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and version control systems such as Git are commonly expected, and certifications in AI or data science are advantageous. Strong problem-solving abilities, attention to detail, eagerness to learn, and effective teamwork and communication skills help set candidates apart. These skills are vital for building, testing, and improving AI models while collaborating productively within dynamic development teams.

What is a junior AI developer?

A Junior AI Developer is an entry-level role focused on assisting in the development, testing, and deployment of AI models and applications. Responsibilities typically include data preprocessing, writing code for machine learning algorithms, optimizing models, and integrating AI solutions into products. They work closely with senior developers and data scientists to gain experience in AI frameworks, programming languages like Python, and cloud-based AI services.

What does a junior AI developer do?

As a Junior AI Developer, your daily tasks may include coding machine learning algorithms, prepping and cleaning datasets, assisting with running experiments, and documenting your work for team review. You'll likely collaborate closely with data scientists, senior developers, and project managers to ensure seamless integration of AI solutions into applications. Regular responsibilities also include participating in team meetings, troubleshooting bugs, and continuously learning about emerging AI trends and best practices. This hands-on experience helps deepen your technical skills, and working with experienced colleagues offers valuable mentorship and growth opportunities.

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

The most popular types of Ai Developer jobs in Arizona are:

What are popular job titles related to Junior Ai Developer jobs in Arizona?

For Junior Ai Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Junior Ai Developer jobs in Arizona look for?

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

What cities in Arizona are hiring for Junior Ai Developer jobs?

Cities in Arizona with the most Junior Ai Developer job openings:

Junior Ai Developer jobs near you
Infographic showing various Junior Ai Developer job openings in Arizona as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $82,915 per year, or $39.9 per hour.

Junior AI Engineer

Synergie Systems

Phoenix, AZ • On-site

Other

Posted 3 days ago

New

Job description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts

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