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Junior Ai Developer Jobs in Arizona (NOW HIRING)

We are seeking for Staff AI Solutions Engineer to help deliver scalable AI/ML solutions across ... junior engineers. As a player-coach, you'll be deeply involved in the technical details-guiding ...

We are seeking for Staff AI Solutions Engineer to help deliver scalable AI/ML solutions across ... junior engineers. As a player-coach, you'll be deeply involved in the technical details-guiding ...

NET Developer

Phoenix, AZ · On-site

$48 - $63.25/hr

Mentor junior developers and participate in code reviews * Work in Agile development environments ... AI-assisted coding tools/workflows * Government or public-sector application experience Additional ...

Jr. Full Stack Engineer

Tempe, AZ · On-site

$70 - $95/hr

Entertainment Partners (EP) is seeking an Junior Full Stack Engineer to join our technology ... Use EP's AI coding tools (Tabnine, Claude Code) to accelerate development and learn engineering ...

... junior developers, promoting coding best practices and quality standards * Build OpenSearch indexes to support robust natural language search functionality * Leverage AI tools to assist in ...

Developer, Back End

Tempe, AZ · On-site

$114K - $135K/yr

... junior developers, promoting coding best practices and quality standards * Build OpenSearch indexes to support robust natural language search functionality * Leverage AI tools to assist in ...

... junior developers, promoting coding best practices and quality standards * Build OpenSearch indexes to support robust natural language search functionality * Leverage AI tools to assist in ...

Sr. AI Security Engineer

Tempe, AZ · Hybrid

$100K - $167K/yr

Preferred: * You're someone who may have started as a junior engineer or analyst and is now ready to take the next step, diving into the complex but exciting world of AI security. You bring broad ...

Senior Developer, Back-End

Tempe, AZ · On-site

$143K - $170K/yr

... junior developers, promoting coding best practices and quality standards * Build OpenSearch indexes to support robust natural language search functionality * Leverage AI tools to assist in ...

Showing results 21-40

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 Sep 4, 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 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 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 are the most commonly searched types of Ai Developer jobs in Arizona?

The most popular types of 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:

Infographic showing various Junior Ai Developer job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $82,915 per year, or $39.9 per hour.

AI Solutions Engineer

onsemi

Scottsdale, AZ

Full-time

Posted 15 days ago


Key responsibilities

  • Build and deploy scalable AI/ML solutions in production environments.

  • Guide architectural decisions, ensure AI safety, and shape workflows using tools like LangGraph, Azure ML, and MLflow.

  • Collaborate with cross-functional teams to deliver end-to-end AI projects aligned with business goals.


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

We are seeking for Staff AI Solutions Engineer to help  deliver scalable AI/ML solutions across multiple business functions in onsemi. This role will be responsible for building AI/ML solutions and ensuring responsible AI governance in alignment with onsemi's policies. You will report to the Sr. AI & Data Science Manager and collaborate to execute, mentor and accelerate AI/ML project delivery to drive business value.
We're looking for a hands-on experienced engineer who can lead technical execution and mentor junior engineers. As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Azure AI Foundry and MLflow. Your expertise in building scalable GenAI solutions and driving AI adoption will be instrumental n driving innovation.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.


onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

Requirements: 

  • Master's or PhD in Computer Science, Data Science, Statistics, or a related field. 
  • 7-10 years of experience in AI/data science. 
  • Proven experience deploying AI/ML solutions in production environments. 
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance. 
  • Excellent communication and stakeholder management skills. 
  • Experience in semiconductor, manufacturing, or industrial domains is a plus. 

Preferred Knowledge and Experience:

  • Semiconductor industry experience. 
  • Experience with tools like LangGraph,  Azure ML, and Snowflake. 
  • Understanding of AI security and compliance frameworks. 

Competencies:

  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Strong problem-solving skills
  • Data analysis skills. Ability to analyze complex data and turn it into actionable information
  • Collaboration and teamwork across multiple functions and stakeholders around the globe
  • Flexibility and adaptability
  • Drive for results, Able to work under pressure and meet deadlines
  • Assist decisions spanning the full AI/ML stack-from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML etc, 
  • Deliver data science project, from ideation to production, ensuring alignment with business goals and technical feasibility. 
  • Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use. 
  • Partner with Infrastructure, Security, data engineering, and business teams to ensure end to end project delivery & execution. 
  • Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources, vector databases, and search technologies to improve response accuracy and relevance.
  •  Develop integrations with enterprise applications such as SAP, Salesforce, ServiceNow, SharePoint, Microsoft 365, and custom business systems through APIs and middleware platforms.
  • Establish monitoring, evaluation, and observability frameworks to track model performance, response quality, hallucinations, latency, user adoption, and business value realization.
  • Perform prompt engineering, workflow orchestration, model fine-tuning, and AI solution optimization to enhance effectiveness, user experience, and cost efficiency.
  • Deploy AI solutions on Azure cloud and establish reusable design patterns. 

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