AI Solutions Engineer Jobs in Arizona
AI Solutions Engineer jobs in Arizona are concentrated in Phoenix and Scottsdale, with a growing cluster in Tucson, where employers like Intel, Honeywell, and American Express have established engineering and technology operations that regularly hire at the mid and senior level. The most in-demand specialties include machine learning integration, enterprise AI deployment, and conversational AI development. Find a role that fits below and apply directly.
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The Artificial Intelligence (AI) Solutions Architect will work with our existing internal AI product management team, Vendor Teams and existing development staff to develop, enhance and streamline our AI systems.
This position works with minimal supervision and exercises independent judgment within well-defined parameters.
1. Lead the design and implementation of secure, scalable AI and Agentic AI solutions aligned with the client mission, policies, and public-sector standards.
2. Define end-to-end AI architectures including data ingestion, RAG pipelines, LLM orchestration, and human-in-the-loop workflows.
3. Provide technical leadership, relevant architectural documentations for approvals, and guidance to internal teams and system integrators.
4. Ensure compliance with the client security, privacy, accessibility, and data-governance requirements (PII, HIPAA, CJIS where applicable).
5. Establish reference architectures and best practices for responsible, ethical, and compliant AI use across the client.
6. Evaluate and integrate AI platforms, cloud services, and vendor solutions in coordination with procurement and legal teams.
7. Design architectures that support explainability, auditability, bias mitigation, and transparency in decision-support systems.
8. Collaborate with DevOps (cloud ops), cybersecurity, and data teams to operationalize AI solutions from proof of concept to production systems.
9. Support AI strategy, roadmap development, and executive briefings to scale AI capabilities across the client programs.
Bachelor's degree in Computer Science
Skills Required
AI Development with Agentic AI and Azure OpenAI
LLM, ML, RAG, and human-in-the-loop workflows
Net (C#, VB.Net), HTML, JavaScript, and advanced automation tools (OCR, IDP, AI/ML)
Demonstrable written and oral communication skills
Ability to design and implement AI agentic solutions from business and technical requirements
Ability to develop technical specifications, designs, and architecture artifacts
Ability to break down business problems into logical tasks and think creatively
Ability to perform code analysis to understand how code is implemented
Ability to manage multiple tasks and changing priorities
Skills Preferred
Azure DevOps, Git, CI/CD
Familiarity with using API/Services (REST & SOAP services), MS Office, Google Suite, OnBase Unity Client,
Continues to educate and mentor developers in best practice
Experience with agile development Scrum, Trello, Kanban, SAFe, Lean principles and software development life cycle (SDLC) and ITIL Process
Required Skills
AI Architecture
Data Ingestion
RAG Pipelines
LLM Orchestration
Preferred Skills
Azure Devops
GIT
CI/CD
.Net (C#, VB.Net), HTML, JavaScript
Notes:
Hybrid, 1-3 days a month in the office.
8:00 AM - 5:00 PM
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
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Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI Solutions Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Electronics & Hardware
What Arizona Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across Arizona.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience deploying machine learning models or large language model solutions
- Proficiency in Python and at least one major ML framework such as TensorFlow or PyTorch
- Experience integrating AI APIs and cloud services such as Azure, AWS, or Google Cloud
- Strong ability to communicate technical solutions to non-technical business stakeholders
- Familiarity with enterprise software environments and solution architecture documentation
AI Solutions Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a ai solutions engineer in Arizona?
Becoming an ai solutions engineer in Arizona starts with a bachelor's degree in computer science, software engineering, or a closely related field, though many employers also value equivalent experience. Arizona does not require a state-issued license for this role. Employers in the Phoenix and Tucson markets typically look for candidates with demonstrated AI project work, cloud platform certifications from providers like AWS or Microsoft Azure, and a portfolio showing real-world model deployment or integration work.
How much do AI solutions engineers make in Arizona?
AI solutions engineers in Arizona earn a median of about $129,690 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,740 for the lowest 10% to over $178,500 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai solutions engineers in Arizona?
Companies currently hiring ai solutions engineers in Arizona include World Wide Technology, AEM, and VIVA, per current listings on Migrate Mate as of September 2026. Arizona's concentration of semiconductor, financial services, and defense technology firms means demand for AI solutions engineers runs across both enterprise software and hardware-adjacent environments.
Which Arizona cities have the most ai solutions engineer jobs?
The cities with the most ai solutions engineer openings in Arizona are Phoenix, Chandler, and Arizona. Phoenix dominates because of its dense concentration of technology, financial services, and healthcare headquarters, while Scottsdale attracts fintech and SaaS employers, and Tucson draws openings from defense contractors and university-affiliated research operations tied to the University of Arizona.
Are there remote ai solutions engineer jobs in Arizona?
Yes, and more than most fields. About 50% of ai solutions engineer openings tied to Arizona are remote or hybrid as of September 2026, reflecting how much of the role centers on software development, model integration, and cloud-based deployment rather than on-site hardware work. Client-facing solution design and pre-sales engineering roles tend to require the most in-person presence.
How can I get hired as a ai solutions engineer in Arizona with little or no experience?
The most realistic entry path is a lateral move from a software engineering or data analyst role, which gives you hands-on technical credibility that hiring managers in Arizona recognize. Large Arizona employers in the tech and financial sectors regularly bring in associate or junior engineers and move them toward AI-focused work once they demonstrate Python and cloud skills. Building a public project portfolio on GitHub that shows end-to-end model deployment, and earning an entry-level cloud certification from AWS or Microsoft, gives candidates a concrete edge when applying to Phoenix-area technology and fintech employers.
Where can I find and apply to ai solutions engineer jobs in Arizona?
You can find and apply to ai solutions engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings. Find roles that fit your experience and apply directly.
See All 10 AI Solutions Engineer Jobs in Arizona
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