Cloud AI Architect Jobs in Utah
Cloud AI Architect jobs in Utah are concentrated in Salt Lake City, Lehi, and Provo, where a dense corridor of technology employers competes for professionals with machine learning platform design, cloud-native infrastructure, and enterprise AI integration expertise. Organizations such as Adobe, Qualtrics, and Northrop Grumman maintain substantial Utah presences and hire at every level from senior engineer to principal architect. Demand has made Utah one of the more active markets in the Mountain West for this role. Scan the live roles below and apply to whichever ones fit.
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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.
Role Overview / The Mission
We are currently unified on Grafana as our target platform and are in the midst of a strategic, high-impact migration away from New Relic and Elastic. As the Observability Lead, you will spearhead this modernization—decommissioning legacy telemetry footprints, unifying disparate data models, and establishing Grafana as our singular, enterprise-wide pane of glass. You will participate in the design, implementation, and maintenance of cloud-based infrastructure, ensuring our architecture is scalable, secure, and resilient.Key Responsibilities
Observability Migration & Modernization
Lead the Modernization Wave: Architect and execute a seamless migration strategy to transition legacy APM, distributed tracing, and log management workloads off New Relic and Elastic onto a modern Grafana (LGTM) and OpenTelemetry architecture.
Consolidate & Standardize Data Models: Translate legacy NRQL/Lucene querying paradigms and proprietary formats into scalable PromQL, LogQL, and TraceQL structures, ensuring no loss of historical operational context during the cutover.
Optimize Telemetry Architecture: Audit existing data pipelines to reduce redundancy, manage label cardinality, and implement aggressive data-filtering strategies that maximize Grafana Mimir/Loki efficiency while driving down total cost of ownership.
Establish Operational Excellence: Build and refine the right metrics for observability; foster a culture of operational excellence where telemetry data drives product and service success.
Cloud Leadership & Engineering
Strategic Architecture: Define future-state cloud platform strategies. Architect and design for resiliency, fault tolerance, and self-healing.
Governance & Standardization: Enforce cloud security policies, schema protocols, and best practices. Establish engineering standards that enhance efficiency and maintainability across multiple products.
Influencing the Roadmap: Influence engineering roadmaps (e.g., tech debt, NFRs) and proactively identify technical gaps, risks, and mitigations. Participate in leadership meetings to align technical outcomes with business value.
Coaching & Mentorship: Provide mentorship and guidance to junior through senior-level engineers. Take a hands-on approach to skill development, fostering growth in cloud engineering domains.
Cross-Functional Collaboration: Act as a go-to resource for complex technical challenges. Collaborate inclusively across teams, harmonizing differing opinions and steering discussions toward productive outcomes.
Required Qualifications:
5 years of Demonstrated expertise on managing all aspects of a Grafana Cloud installation.
2 years of experience managing Infrastructure as Code (IaC) or related development experience.
Experience as a technical leader.
Preferred Qualifications:
Proven Migration Experience: Technical leadership in at least one large-scale migration away from proprietary APM platforms (specifically New Relic or Datadog) or heavy log-analytics platforms (Elasticsearch/ELK) into a unified open-source or Grafana-centric stack.
Deep Query Language Fluency: Expert-level mastery of PromQL, LogQL, and TraceQL, with a strong foundational understanding of how to map them from legacy languages like NRQL or Lucene syntax.
Strategic Influence: Ability to build a coalition of support across the organization. You are a respected thinker who can frame technical decisions (rationales, benefits, risks) in business terms to stakeholders.
Communication: Effective at sharing information across audiences (from direct leaders to engineering communities). Skilled at tailoring information and key points to different levels of technical and non-technical stakeholders.
Execution: Adept at planning, delivering, and supporting complex projects. Maintains composure in stressful or unexpected situations and can pivot action plans without affecting the broader process.
Growth Mindset: Committed to developing yourself and others. Proactively focuses on professional development to accomplish new tasks and team goals.
Education
Bachelor's degree preferred/specialized training/relevant professional qualification.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00This 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.
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: 07/06/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
See All 22 Cloud AI Architect Jobs in Utah
Find roles in Utah that match your experience and apply in just a few clicks.
Find Cloud AI Architect JobsCloud AI Architect Jobs by City in Utah
Where Utah roles are concentrated, by current openings.
Cloud AI Architect Job Market in Utah
A snapshot from current Utah openings, updated as new roles post.
Who's Hiring
- LVT (LiveView Technologies)2

- QXO1

- Adobe1

- icapital1

- Moog1

Top Industries Hiring
- Technology & Software3
- Healthcare & Medical Services2
- Food & Beverage1
- Science & Research1
- Investment & Asset Management1
What Utah Employers Look For
The qualifications that appear most often in cloud AI architect jobs across Utah.
- Bachelor's or master's degree in computer science, engineering, or a closely related field
- Hands-on experience designing and deploying AI and ML workloads on AWS, Azure, or Google Cloud
- Professional cloud certification such as AWS Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional
- Proficiency with MLOps tooling, model lifecycle management, and AI pipeline orchestration
- Experience translating business requirements into scalable cloud AI architectures for enterprise clients
- Strong communication skills for presenting architectural decisions to both technical teams and executive stakeholders
Cloud AI Architect Jobs in Utah: Frequently Asked Questions
How do you become a cloud ai architect in Utah?
Most cloud ai architects in Utah begin with a bachelor's degree in computer science, software engineering, or information systems, then build several years of hands-on cloud and data engineering experience before moving into architecture roles. There is no state-issued license for this role in Utah. Employers here place significant weight on vendor certifications from AWS, Microsoft Azure, or Google Cloud, alongside demonstrated experience shipping AI systems at scale.
Which companies hire cloud ai architects in Utah?
Utah cloud ai architect roles are posted by LVT (LiveView Technologies), QXO, and Adobe and others right now, based on current listings on Migrate Mate as of July 2026. Utah's high concentration of SaaS, defense-tech, and enterprise software companies means openings appear regularly across the Wasatch Front corridor.
Which Utah cities have the most cloud ai architect jobs?
Salt Lake City, Utah, and Ogden account for the largest share of cloud ai architect openings in Utah. Salt Lake City anchors the market as the state's primary enterprise and government technology hub, while Lehi and Provo benefit from the dense cluster of high-growth SaaS and data companies along the Silicon Slopes corridor that have made this stretch one of the most active technology hiring areas in the Mountain West.
Are there remote cloud ai architect jobs in Utah?
Yes, and more than most fields. About 64% of cloud ai architect openings tied to Utah are remote or hybrid as of July 2026, reflecting how naturally suited architecture and design work is to distributed collaboration. The most remote-friendly parts of the role are solution design, stakeholder presentations, and documentation, while hands-on proof-of-concept builds and client onboarding sessions are more likely to require periodic on-site presence.
How can I get hired as a cloud ai architect in Utah with little or no experience?
The most realistic entry path is a cloud or data engineering role at one of Utah's larger technology employers, where exposure to AI workloads and internal mobility programs can advance you toward architecture. Companies along the Silicon Slopes corridor regularly post associate cloud engineer and junior ML engineer roles that serve as feeder positions. Completing an AWS, Azure, or Google Cloud certification before applying, and building a portfolio of documented architecture diagrams or personal AI projects, gives candidates a measurable edge over others at the same experience level.
Where can I find and apply to cloud ai architect jobs in Utah?
You can find and apply to cloud ai architect jobs in Utah on Migrate Mate, which lists current Utah openings. Search the available roles, identify the ones that match your experience and preferred location or work arrangement, and apply directly to whichever fit.
See All 22 Cloud AI Architect Jobs in Utah
Find roles in Utah that match your experience and apply in just a few clicks.
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