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Ai Solutions Developer Jobs in Arizona (NOW HIRING)

onsemi

AI Solutions Engineer

Scottsdale, AZ · On-site

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 ...

onsemi

AI Solutions Engineer

Scottsdale, AZ · On-site

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 ...

Addison Group

AI Solutions Engineer

Phoenix, AZ · On-site

$60 - $70/hr

Position Summary Seeking an engineer passionate about implementing AI technologies to improve ... Develop AI-powered business solutions * Integrate OpenAI and Microsoft Copilot technologies

Addison Group

AI Solutions Engineer

Phoenix, AZ · On-site

$60 - $70/hr

Position Summary Seeking an engineer passionate about implementing AI technologies to improve ... Develop AI-powered business solutions * Integrate OpenAI and Microsoft Copilot technologies

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ

$101K - $134K/yr

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design ...

Apex Systems

AI Solutions Architect

Chandler, AZ · On-site

$64.25 - $84.75/hr

Job#: 3051168 AI Solutions Architect Location: Chandler, Arizona (Hybrid) Employment Type: Contract ... Partner with engineering and delivery teams to clarify architecture and support implementation ...

New

Intel

Physical AI Solutions Architect

Phoenix, AZ · On-site

$62.50 - $82.50/hr

The Role and Impact Intel is seeking an experienced Physical AI Solutions Architect to help ... Minimum Qualifications - Bachelor's degree in Computer Science, Engineering, Robotics, AI, or ...

Deloitte

AI Solutions Architect - Life Sciences

Tempe, AZ · Hybrid

$60.25 - $79.50/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Intel

Physical AI Industry Solutions Manager

Phoenix, AZ · On-site

Represent customer, partner, and market requirements to Intel product, engineering, and executive ... Experience with AI/ML or edge computing solutions * Experience in partner-led or ecosystem-driven ...

New

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... solutions. * Follow modern secure coding, DevOps, and CI/CD practices. * Document technical ...

Socket.dev

AI Solution Architect

Scottsdale, AZ · On-site

$63.75 - $84/hr

Bounteous is a global AI Services firm where agentic engineering and human experience converge to ... solutions, reference architectures, build-versus-buy analysis, model and vendor selection ...

Globe Telecom, Inc.

AI Solution Expert

Globe, AZ · On-site

$52.50 - $67.75/hr

Demonstrable portfolio of previous AI projects and solutions, particularly those involving generative AI. Skills * Proficiency in AI/ML frameworks (TensorFlow, PyTorch, etc.). * Strong programming ...

Forhyre

AI Cloud Solutions Director

Phoenix, AZ

Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred. * Minimum of 8 years of experience in the development and implementation of AI solutions, with ...

Globe Telecom, Inc.

AI Engineer

Globe, AZ · On-site

$92K - $126K/yr

Modern DevOps Handover: Partner with operations and infrastructure teams to enable seamless ... ROI for AI solutions, user adoption rates, and operational efficiency improvements. Top ...

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All JobsAi Solutions Developer JobsAi Solutions Developer Jobs in Arizona

Ai Solutions Developer information

See Arizona salary details

$15

$52

$78

How much do ai solutions developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for ai solutions developer in Arizona is $52.82, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $62.74 per hour, depending on experience, location, and employer.

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

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

Ai Solutions Developer jobs near you
Infographic showing various Ai Solutions Developer job openings in Arizona as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $109,858 per year, or $52.8 per hour.

AI Solutions Engineer

Scottsdale, AZ • On-site

onsemi
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees
Learn more about onsemiexternal

Full-time

Posted 22 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

8.2

Company rating: 8.2 out of 10

Based on 21 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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