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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Showing 5 of 186+ AI Architect jobs
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health is seeking a Principal Architect to provide enterprise-level technical leadership across complex, business-critical platforms, with strong accountability for application, data, and integration architecture. This role emphasizes AI-powered systems, agentic architectures, intelligent automation, and modern data platforms. The role owns end-to-end solution architecture for large-scale initiatives and shapes how data and software are designed, built, governed, and evolved across the enterprise.
The ideal candidate is a hands-on, outcome-driven architect who operates across business, product, engineering, and executive leadership, balancing innovation, delivery speed, data integrity, and long-term platform health.
Key Responsibilities
Architecture Leadership and Strategy
- Own and evolve end-to-end solution architecture for highly complex, cross-domain initiatives encompassing application, integration, and data architecture.
- Provide technology leadership and architectural oversight to ensure adherence to enterprise architecture principles and standards while maximizing reuse of technology and data assets.
- Serve as a technical authority and trusted advisor to senior engineering, product, data, and business leaders.
- Lead architecture design reviews, identify systemic gaps and risks across systems and data flows, and drive pragmatic remediation.
Platform Modernization and Integration
- Lead modernization of distributed platforms spanning cloud-native and legacy environments.
- Define and enforce reference architectures for microservices, APIs, event-driven systems, and data platforms.
- Design integration architectures leveraging APIs, event streaming, and asynchronous messaging to decouple systems and enable resilience.
- Perform build versus buy evaluations using qualitative and quantitative analysis, delivering clear architectural recommendations.
Data Architecture and Governance
- Define and own data architecture strategies including domain-oriented data models, canonical data definitions, and system-of-record design.
- Architect scalable data platforms supporting operational reporting, analytics, AI, and downstream consumption.
- Establish patterns for data integration, data lineage, quality, observability, and governance.
- Partner with data engineering, analytics, security, and compliance teams to ensure data architectures meet privacy, regulatory, and audit requirements.
Agentic AI and Intelligent Automation
- Design and guide implementation of agent-based and agent-orchestrated architectures to support complex workflows and decision-making.
- Leverage LangGraph, agent development kits, and orchestration patterns to enable multi-step reasoning, tool-using agents, and human-in-the-loop workflows.
- Ensure AI systems are governed, observable, secure, and auditable by design.
- Partner with security, legal, and compliance teams to enable responsible AI adoption.
AI-Powered Development
- Champion AI-assisted software development practices including code generation, refactoring, test creation, impact analysis, and documentation automation.
- Establish architectural patterns that improve developer productivity without sacrificing quality, data integrity, or control.
Engineering Enablement and Governance
- Partner with development teams to remove architectural bottlenecks and accelerate delivery.
- Develop reference implementations and working patterns, providing hands-on guidance and coaching.
- Advise teams on performance, scalability, reliability, security, observability, and data architecture challenges.
- Define and uphold architecture and data standards while enabling team autonomy.
Required Qualifications
- 12+ years of experience in enterprise application, integration, and data architecture.
- Strong expertise in Domain-Driven Design, microservices, APIs, event-driven systems, and data modeling.
- Hands-on experience with major public cloud platforms including Azure, AWS, and GCP.
- Proven experience integrating modern cloud platforms with legacy systems and enterprise data stores.
- Demonstrated ability to influence senior engineers, data leaders, and executives without direct authority.
- Hands-on experience applying AI, Agentic AI, ML, or GenAI to automate workflows, analyze data, and assist development.
Preferred Qualifications
- Experience designing or implementing agentic AI systems and orchestration-based workflows.
- Familiarity with LangGraph, agent development kits, or similar frameworks.
- Experience with modern data platforms, streaming data pipelines, and analytical data stores.
- Experience with DevSecOps, CI/CD, and platform engineering practices.
- Experience operating in highly regulated environments.
Education
- Bachelor Degree in Computer Science or related field required
- Master Degree in Computer Science or related field preferred
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
CVS Health is seeking a Principal Architect to provide enterprise-level technical leadership across complex, business-critical platforms, with strong accountability for application, data, and integration architecture. This role emphasizes AI-powered systems, agentic architectures, intelligent automation, and modern data platforms. The role owns end-to-end solution architecture for large-scale initiatives and shapes how data and software are designed, built, governed, and evolved across the enterprise.
The ideal candidate is a hands-on, outcome-driven architect who operates across business, product, engineering, and executive leadership, balancing innovation, delivery speed, data integrity, and long-term platform health.
Key Responsibilities
Architecture Leadership and Strategy
- Own and evolve end-to-end solution architecture for highly complex, cross-domain initiatives encompassing application, integration, and data architecture.
- Provide technology leadership and architectural oversight to ensure adherence to enterprise architecture principles and standards while maximizing reuse of technology and data assets.
- Serve as a technical authority and trusted advisor to senior engineering, product, data, and business leaders.
- Lead architecture design reviews, identify systemic gaps and risks across systems and data flows, and drive pragmatic remediation.
Platform Modernization and Integration
- Lead modernization of distributed platforms spanning cloud-native and legacy environments.
- Define and enforce reference architectures for microservices, APIs, event-driven systems, and data platforms.
- Design integration architectures leveraging APIs, event streaming, and asynchronous messaging to decouple systems and enable resilience.
- Perform build versus buy evaluations using qualitative and quantitative analysis, delivering clear architectural recommendations.
Data Architecture and Governance
- Define and own data architecture strategies including domain-oriented data models, canonical data definitions, and system-of-record design.
- Architect scalable data platforms supporting operational reporting, analytics, AI, and downstream consumption.
- Establish patterns for data integration, data lineage, quality, observability, and governance.
- Partner with data engineering, analytics, security, and compliance teams to ensure data architectures meet privacy, regulatory, and audit requirements.
Agentic AI and Intelligent Automation
- Design and guide implementation of agent-based and agent-orchestrated architectures to support complex workflows and decision-making.
- Leverage LangGraph, agent development kits, and orchestration patterns to enable multi-step reasoning, tool-using agents, and human-in-the-loop workflows.
- Ensure AI systems are governed, observable, secure, and auditable by design.
- Partner with security, legal, and compliance teams to enable responsible AI adoption.
AI-Powered Development
- Champion AI-assisted software development practices including code generation, refactoring, test creation, impact analysis, and documentation automation.
- Establish architectural patterns that improve developer productivity without sacrificing quality, data integrity, or control.
Engineering Enablement and Governance
- Partner with development teams to remove architectural bottlenecks and accelerate delivery.
- Develop reference implementations and working patterns, providing hands-on guidance and coaching.
- Advise teams on performance, scalability, reliability, security, observability, and data architecture challenges.
- Define and uphold architecture and data standards while enabling team autonomy.
Required Qualifications
- 12+ years of experience in enterprise application, integration, and data architecture.
- Strong expertise in Domain-Driven Design, microservices, APIs, event-driven systems, and data modeling.
- Hands-on experience with major public cloud platforms including Azure, AWS, and GCP.
- Proven experience integrating modern cloud platforms with legacy systems and enterprise data stores.
- Demonstrated ability to influence senior engineers, data leaders, and executives without direct authority.
- Hands-on experience applying AI, Agentic AI, ML, or GenAI to automate workflows, analyze data, and assist development.
Preferred Qualifications
- Experience designing or implementing agentic AI systems and orchestration-based workflows.
- Familiarity with LangGraph, agent development kits, or similar frameworks.
- Experience with modern data platforms, streaming data pipelines, and analytical data stores.
- Experience with DevSecOps, CI/CD, and platform engineering practices.
- Experience operating in highly regulated environments.
Education
- Bachelor Degree in Computer Science or related field required
- Master Degree in Computer Science or related field preferred
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
See All 186+ AI Architect Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
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
- Matlen Silver10
- ASM8
- Honeywell7
- CVS Health7
- Western Alliance Bank7
Top Industries Hiring
- Consulting & Professional Services38
- Technology & Software35
- Construction & Real Estate18
- Electronics & Hardware15
- Staffing & Recruiting13
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 Matlen Silver, ASM, and Honeywell, based on current listings on Migrate Mate as of June 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 Scottsdale 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 24% of ai architect openings tied to Arizona are remote or hybrid as of June 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 186+ AI Architect Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
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