Cloud AI Architect Jobs in Arizona
Cloud AI Architect jobs in Arizona are open across Tempe, Phoenix, and Scottsdale and other Arizona metros, with employers like CVS Health, Northern Trust, and Databricks hiring at every experience level. Find a role that fits below and apply directly.
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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 4 Cloud AI Architect Jobs in Arizona
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Find Cloud AI Architect JobsCloud AI Architect Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
Cloud AI Architect Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- CVS Health1

- Northern Trust1

- Databricks1

- Western Alliance Bank1

Top Industries Hiring
- Technology & Software1
- Banking & Financial Services1
- Healthcare & Medical Services1
- Investment & Asset Management1
What Arizona Employers Look For
The qualifications that appear most often in cloud AI architect jobs across Arizona.
- Five or more years of hands-on experience designing production cloud infrastructure on AWS, Azure, or Google Cloud
- Demonstrated experience building and deploying machine learning or generative AI workloads at enterprise scale
- Proficiency with MLOps tooling such as Kubeflow, MLflow, Vertex AI Pipelines, or SageMaker Pipelines
- Strong programming skills in Python and familiarity with model serving frameworks like TensorFlow Serving, TorchServe, or Triton
- Experience with containerization and orchestration using Docker and Kubernetes in a cloud-native environment
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
Cloud AI Architect Jobs in Arizona: Frequently Asked Questions
How many cloud AI architect jobs are there in Arizona?
There are 4+ cloud AI architect openings in Arizona on Migrate Mate as of June 2026, with the most roles in Tempe, Arizona, and Phoenix. New positions post regularly as employers across Arizona hire.
Which Arizona cities have the most cloud AI architect jobs?
Tempe, Arizona, and Phoenix have the most cloud AI architect openings in Arizona right now, with additional roles spread across smaller metros statewide.
Which companies hire cloud AI architects in Arizona?
Employers hiring cloud AI architects in Arizona include CVS Health, Northern Trust, and Databricks, based on current listings on Migrate Mate as of June 2026.
Are there remote cloud AI architect jobs in Arizona?
Yes. About 50% of cloud AI architect openings tied to Arizona are remote or hybrid as of June 2026. The rest are on-site roles based in Arizona metros.
How do I apply for cloud AI architect jobs in Arizona?
You can apply to cloud AI architect jobs in Arizona directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Arizona location, then apply to each one that fits.
See All 4 Cloud AI Architect Jobs in Arizona
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