AI Architect Jobs in Arizona
AI Architect jobs in Arizona are in strong demand, with active hiring concentrated in financial services, defense and aerospace contracting, semiconductor manufacturing, and healthcare technology across the Phoenix metropolitan area, Scottsdale, and Tucson. Companies with a lasting Arizona footprint such as Intel, Banner Health, and Raytheon Technologies regularly seek ai architects at both mid-career and senior levels to lead enterprise AI strategy, large language model deployment, and cloud-native ML infrastructure. The most in-demand specialties are generative AI integration, MLOps pipeline design, and responsible AI governance. 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
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
See All 14 AI Architect Jobs in Arizona
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Find AI Architect JobsAI Architect Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI Architect Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
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- Banking & Financial Services
What Arizona Employers Look For
The qualifications that appear most often in AI architect jobs across Arizona.
- Bachelor's or master's degree in computer science, AI, data science, or a related field
- Demonstrated experience designing and deploying machine learning or deep learning systems at enterprise scale
- Proficiency with major cloud platforms such as AWS, Azure, or Google Cloud and their AI and ML services
- Hands-on experience with large language models, generative AI frameworks, and MLOps tooling
- Ability to translate complex AI capabilities into clear technical roadmaps for business stakeholders
- Familiarity with responsible AI principles, model governance, and regulatory compliance requirements
AI Architect Jobs in Arizona: Frequently Asked Questions
How do you become a ai architect in Arizona?
AI architect roles in Arizona do not require a state-issued license, so the path runs through education and credentials. Most Arizona employers expect at least a bachelor's degree in computer science, data science, or engineering, with a master's preferred for senior roles. Vendor certifications from AWS, Microsoft Azure, or Google Cloud carry significant weight in the Arizona market, where cloud-heavy industries like finance, defense, and healthcare dominate hiring. Building a portfolio of deployed ML systems is the most direct way to qualify.
How much do AI architects make in Arizona?
AI architects in Arizona earn a median of about $105,240 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $52,450 for the lowest 10% to over $166,870 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Arizona?
Employers hiring ai architects in Arizona right now include VIVA, Troon, and Infosys, based on current listings on Migrate Mate as of September 2026. Arizona's mix of financial services headquarters, defense contractors, semiconductor firms, and large hospital systems means demand for ai architects is spread across several industries rather than concentrated in a single sector.
Which Arizona cities have the most ai architect jobs?
Phoenix, Chandler, and Tempe account for the largest share of ai architect openings in Arizona. The Phoenix and Scottsdale corridor drives the majority of postings, anchored by major financial institutions, healthcare networks, and technology companies headquartered or regionally based there, while Tucson's openings are shaped by defense and aerospace contractors with substantial engineering operations in the area.
Are there remote ai architect jobs in Arizona?
Yes, and more than most fields. About 83% of ai architect openings tied to Arizona are remote or hybrid as of September 2026, reflecting how much of this work involves design, modeling, and code rather than on-site infrastructure. The most remote-friendly parts of the role include model development, architecture documentation, and stakeholder consultation, while roles requiring hands-on integration with on-premises systems or regulated data environments tend to require at least partial on-site presence.
How can I get hired as a ai architect in Arizona with little or no experience?
The most realistic entry point is a machine learning engineer or data scientist role at a large Arizona employer, then building toward architecture responsibilities from there. Companies like Intel and Banner Health run graduate hiring programs and rotational technology tracks that bring in candidates without deep enterprise AI experience. Completing a recognized cloud certification, contributing to an open-source AI project, or completing a graduate program at Arizona State University strengthens an early-career application considerably and is a credential Arizona hiring managers in tech and healthcare explicitly look for.
Where can I find and apply to ai architect jobs in Arizona?
You can find and apply to ai architect jobs in Arizona on Migrate Mate, which lists current Arizona openings from employers actively hiring in the state. Search the listings, find roles that match your background and target location, and apply directly to the ones that fit.
See All 14 AI Architect Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
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