Top 54 Reliability engineer ai enablement Jobs in West Jordan Ut

Site Reliability Engineer- AI Enablement
Health Catalyst, Inc. —Salt Lake City, UT
- Full-time
- Remote
- Azure
- Computer Science
- Bachelor of Science
Quick Apply
AI Engineer
University of Utah Health —Salt Lake City, UT
- $90,188 - $135,601 a year
- Full-time
- Hybrid work
- Pass drug screening
- HIPAA
- Master's degree
- Retirement plan
1d
AI Engineer - Innovation Lab
Zions Bancorporation —Midvale, UT
- Hybrid work
- Computer science
- Azure
- 6 years
- Profit sharing
- Paid training
AI Platform Engineer III
University of Utah Health —Salt Lake City, UT
- $100,000 - $125,000 a year
- 8 hour shift
- Google Workspace
- Azure
- Pass drug screening
- Retirement plan
3d
AI Platform Engineer III
University of Utah —Salt Lake City, UT
- $100,000 - $125,000 a year
- 8 hour shift
- Google Workspace
- Azure
- Pass drug screening
- Retirement plan
2d
AI Engineer
University of Utah —Salt Lake City, UT
- $90,188 - $135,601 a year
- Full-time
- Hybrid work
- Pass drug screening
- HIPAA
- Master's degree
- Retirement plan
1d
Applied AI Field Engineer (Orlando)
Trilon Group —Salt Lake City, UT
- $155,000 - $190,000 a year
- Full-time
- System design
- Databases
- Continuous improvement
Quick Apply
Lead AI Engineer
InsCipher —Pleasant Grove, UT
- $170,000 - $215,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- System design
- Paid holidays
- Health insurance
Quick Apply
Senior AI Engineer
Podium —Lehi, UT
- System design
- Continuous improvement
- 1 year
- Paid parental leave
- Disability insurance
Sr. AI Engineer
Extra Space Management, Inc —Salt Lake City, UT
- Full-time
- Hybrid work
- Azure
- 5 years
- System design
Quick Apply
Software Engineer (Retail Card Payments)
Zions Bancorporation —Midvale, UT
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Profit sharing
- Paid training
8d
Principal, AI Platform Engineer
Vivint —Lehi, UT
- Computer Science
- Office
- Bachelor's degree
- Paid holidays
- Health insurance
Quick Apply
10d
Software Engineer II - Web Platform
Western Governors University —Salt Lake City, UT
- $118,900 - $178,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Lead AI Engineer
Veracity Insurance Solutions —Pleasant Grove, UT
- $170,000 - $215,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- System design
- Paid holidays
- Health insurance
Quick Apply
Network Engineer, AI Infrastructure Repair
Meta —Eagle Mountain, UT
- $193,000 - $271,000 a year
- Computer science
- Computer Science
- 11+ years
Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
CVS Health —Salt Lake City, UT
- $83,430 - $222,480 a year
- Full-time
- 3 years
- High school diploma or GED
- Bachelor's degree
- Health insurance
- Dental insurance
Senior Software Engineer | Web Platform
Western Governors University —Salt Lake City, UT
- $143,700 - $222,700 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Staff AI Engineer
Podium —Lehi, UT
- System design
- Continuous improvement
- APIs
- Paid parental leave
- Disability insurance
Principal Network Engineer - AI Infrastructure
CVS Health —Salt Lake City, UT
- $144,200 - $288,400 a year
- Full-time
- System design
- HIPAA
- Research
- Health insurance
- Dental insurance
AI Product Builder
Motivosity —Lehi, UT
- Full-time
- Mid-level
- AWS
Quick Apply

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reliability engineer ai enablement jobs near west jordan ut

Site Reliability Engineer- AI Enablement

Health Catalyst, Inc. -
Salt Lake City, UT

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Job Details

Full-time

Qualifications

Systems integration
Continuous deployment
Software implementation
Integration Architecture Design (Architecture design skills)
Machine learning projects
Production systems
Technology advisory
DevOps automation
Implementing IT solutions
Cross-functional communication

Full Job Description

Join one of the nation’s leading and most impactful health care performance improvement companies. Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation’s leading healthcare organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:

Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation
Analytics: deliver analytic applications & services that generate insight on how to measurably improve
Expertise: provide clinical, financial & operational experts who enable & accelerate improvement
Engagement: attract, develop and retain world-class team members by being a best place to work

Role: Site Reliability Engineer, AI

Team: Central AI

Location: Remote

Travel: None

**This position is currently not eligible for visa sponsorship**

Be part of a World Class Team responsible for:

As a Site Reliability Engineer on the Central AI team, you will help Health Catalyst engineer teams adopt AI responsibly and effectively. You bring deep experience solutioning and implementing AI systems, and you use that expertise to evaluate architectures, guide engineering teams on AI tooling and workflows, and support the organization’s AI governance framework. You are a trusted partner and advisor — not a gatekeeper — helping teams build AI-powered systems that are reliable, observable, and aligned with our standards.

What you will own in this role…

AI Workflow Enablement: Train and coach engineering teams on how to effectively integrate AI into their development workflows, including the use of AI-assisted coding tools, prompt engineering practices, and agentic development patterns.
Architecture Review: Evaluate AI system designs submitted through the Central AI intake process, providing actionable guidance on integration patterns, reliability risks, observability gaps, and alignment with AI governance standards.
AI Governance Guidance: Serve as a technical resource for the organization’s AI governance framework — helping teams understand and apply policies around model access, data handling, risk tiers, and responsible AI use in practice.
Solutioning & Implementation Support: Partner with engineering teams during the design and implementation phases of AI projects, offering hands-on guidance on LLM integration, RAG pipelines, agentic architectures, and AI service patterns.
Reliability Advising: Bring an SRE perspective to AI systems — advising teams on observability, SLOs, failure modes, and operational readiness for AI-powered services. Participate in incident calls as a subject matter expert to provide AI-specific guidance when needed.
Tooling & Standards: Contribute to the development of internal standards, reference architectures, and reusable patterns that make it easier for teams to build AI systems correctly the first time.
Cross-functional Collaboration: Work closely with product managers, data scientists, security, and compliance stakeholders to ensure AI implementations meet organizational, regulatory, and clinical requirements.
Documentation: Maintain clear documentation of AI architecture patterns, governance guidance, and review decisions to support knowledge sharing and organizational learning.
Continuous Learning: Stay current with the rapidly evolving AI landscape — LLM capabilities, agentic frameworks, AI safety research, and SRE practices for AI systems — and bring relevant insights back to the team.

What you bring to the role:

Proven experience solutioning and implementing AI systems in production, including LLM API integration (e.g., Azure AI Foundry, Anthropic Claude) and AI-native application patterns.
Hands-on experience with at least one agentic or RAG framework (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar).
Strong SRE or platform engineering background, with working knowledge of observability, reliability principles, and operational best practices.
Ability to evaluate AI architectures for reliability, security, governance alignment, and operational readiness — and communicate findings clearly to both technical and non-technical audiences.
Experience advising or enabling engineering teams: coaching, conducting reviews, or leading training on AI tooling and best practices.
Familiarity with AI governance concepts, including risk tiering, responsible AI principles, prompt safety, and access control for AI services.
Cloud infrastructure experience with Azure or AWS, including managed AI/ML services.
Familiarity with container-based architectures (Docker, Kubernetes) and CI/CD pipelines.
Strong written and verbal communication skills; able to articulate complex AI concepts to audiences of varying technical background.
Highly collaborative, self-directed, and motivated by helping others succeed with new technology.

You may also bring this:

Software engineering background (any language) that allows you to read and reason about code, participate in architecture discussions, and credibly engage with engineering teams. Hands-on coding is not a primary responsibility of this role.
Experience with healthcare IT, including familiarity with clinical data models and interoperability standards such as HL7v2, CDA, EMR, and FHIR.
Knowledge of healthcare compliance and how it applies to AI systems and application security.
Experience with AI evaluation, testing, or red-teaming practices.
Familiarity with rules engines or deterministic workflow systems and how they compare to AI-native approaches in terms of reliability and auditability.
Experience with observability tooling such as Datadog, Grafana, or OpenTelemetry.
Agile/Scrum experience working within or alongside software engineering teams.
Experience building solutions in Databricks

Preferred Experience & Education (Your background might include)

BS/BA or MS in Computer Science, Information Systems, or a related technical field — or equivalent practical experience.
A minimum of 5 years of experience in site reliability engineering, platform engineering, or a closely related role.
At least 2 years of hands-on experience solutioning or implementing AI/LLM-based systems in a production or near-production context.

Information Security and Compliance Responsibilities:

Maintain compliance with training directives required by the organization pertaining to Information Security, Acceptable Use Policy and HIPAA Privacy and Security.
Adhere to and comply with the organizations Acceptable Use Policy.
Safeguard information system assets by identifying and reporting potential and actual security events to the organizations Security and Compliance Officers.

The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst

Studies show that candidates from underrepresented groups are less likely to apply for roles if they don’t have 100% of the qualifications shown in the job posting. While each of our roles have core requirements, please thoughtfully consider your skills and experience and decide if you are interested in the position. If you feel you may be a good fit for the role, even if you don’t meet all of the qualifications, we hope you will apply. If you feel you are lacking the core requirements for this position, we encourage you to continue exploring our careers page for other roles for which you may be a better fit.

At Health Catalyst, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Health Catalyst is an equal opportunity employer.

Quick Apply

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reliability engineer ai enablement jobs in west jordan ut

Site Reliability Engineer- AI Enablement

AI Engineer

AI Engineer - Innovation Lab

AI Platform Engineer III

AI Platform Engineer III

AI Engineer

Applied AI Field Engineer (Orlando)

Lead AI Engineer

Senior AI Engineer

Sr. AI Engineer

Software Engineer (Retail Card Payments)

Principal, AI Platform Engineer

Software Engineer II - Web Platform

Lead AI Engineer

Network Engineer, AI Infrastructure Repair

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Senior Software Engineer | Web Platform

Staff AI Engineer

Principal Network Engineer - AI Infrastructure

AI Product Builder

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Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation

Analytics: deliver analytic applications & services that generate insight on how to measurably improve

Expertise: provide clinical, financial & operational experts who enable & accelerate improvement

Engagement: attract, develop and retain world-class team members by being a best place to work

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