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Remote Ai Infrastructure Engineer Jobs in Utah (NOW HIRING)

Senior Application Security Engineer

South Jordan, UT · Remote

$109K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ... Evaluate and adopt AI-powered security tooling -- from AI-assisted pentesting and code review to ...

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ... Evaluate and adopt AI-powered security tooling - from AI-assisted pentesting and code review to ...

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ... Evaluate and adopt AI-powered security tooling -- from AI-assisted pentesting and code review to ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position; however, the candidate must reside within 30 miles of one of the ... AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position; however, the candidate must reside within 30 miles of one of the ... AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate ...

Quality Assurance Engineer (Remote)

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

An award-winning remote work environment POSITION OVERVIEW Quality Assurance Engineer is a ... Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG ...

Software Engineer III

Lehi, UT · Remote

$54 - $72.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineer III US - Lehi, Utah (Remote-friendly) RLDatix is on a mission to transform care delivery ... and infrastructure evolution -- using AI development tools pragmatically while maintaining ...

Software Engineer III

Lehi, UT · Remote

$54 - $72.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineer III US - Lehi, Utah (Remote-friendly) RLDatix is on a mission to transform care delivery ... and infrastructure evolution -- using AI development tools pragmatically while maintaining ...

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Senior Staff Software Engineer - Agentic AI will design and deliver core agent ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Senior Azure Cloud Engineer (Remote)

Salt Lake City, UT · On-site +1

$54 - $72/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own and lead cloud infrastructure projects end-to-end - from design and planning through execution ... Experience with Azure AI and platform services preferred * Familiarity with healthcare data ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Showing results 21-40

Remote Ai Infrastructure Engineer information

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Utah?

The most popular types of Ai Infrastructure Engineer jobs in Utah are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Utah?

For Remote Ai Infrastructure Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Utah look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Utah are:

What cities in Utah are hiring for Remote Ai Infrastructure Engineer jobs?

Cities in Utah with the most Remote Ai Infrastructure Engineer job openings:

Senior Application Security Engineer

Canopy

South Jordan, UT • Remote

$109K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


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Job description

Senior Application Security Engineer

Canopy, South Jordan, UT

About Us

Canopy is a fast-growing SaaS company in Draper, Utah building simple, powerful software for accounting firms. We\'re on a mission to help accountants build an autonomous firm — giving them back the time and tools they need to focus on what matters most: their clients.

We believe the accounting industry deserves world-class software, and we\'re building exactly that. Our Practice Management Suite is purpose-built for firms that want to work smarter, grow faster, and deliver more value to the people they serve. We place a strong emphasis on delighting our customers, spotting and solving problems, and being good people along the way.

Click here to see why our clients (and investors) love Canopy.

Interested in learning more about Canopy & the industry? Check out our blog here where you can find great information on our product features, industry news, practice management, and more!

The Opportunity

As we scale, so does the trust our customers place in us to protect their data. We\'re hiring a Senior Application Security Engineer to help harden our platform — from how we isolate workloads and control access, to how we secure our network, harden our applications, achieve audit-grade observability, and lock down our software supply chain.

This is a hands-on, high-ownership role. You\'ll be a primary builder on a broad security roadmap spanning cloud infrastructure, identity, network, application, observability, and the software supply chain — turning it into shipped, operational reality alongside platform, infrastructure, and product engineering teams. We\'re looking for someone who can go deep on any one of these areas when needed, while staying comfortable moving across all of them, and who has a sharp read on how AI is reshaping both the threats we defend against and the tools we defend with.

This position is fully remote in Utah.

What You’ll Do

  • Help design and execute a multi-year application and platform security roadmap spanning cloud infrastructure, identity, network, application, observability, and the software supply chain
  • Harden our AWS and Kubernetes environments — from account/organization structure and IAM to workload identity, network segmentation, and zero-trust access
  • Strengthen authentication and application-layer defenses, including anti-abuse protections, secure headers, and multi-tenant isolation
  • Build out the security observability stack: audit logging, cloud posture monitoring, runtime threat detection, and deception-based detection techniques
  • Embed security into the SDLC — CI/CD gates, secret scanning, threat modeling, and software supply chain integrity (SBOMs, artifact signing, provenance), accounting for the new risks and review needs introduced by AI-generated code and AI-assisted development workflows
  • Evaluate and adopt AI-powered security tooling — from AI-assisted pentesting and code review to anomaly detection — to help our small team punch above its weight
  • Work closely with the security lead to prioritize this work, balancing finite hardening projects against the ongoing operational load of running a security program that scales with the company
  • Serve as a trusted security resource for engineering teams — reviewing designs, unblocking teams on secure implementation patterns, and helping raise security literacy across the org
  • Support customer and compliance conversations where deep technical credibility is needed

What We’re Looking For

  • 8+ years of professional experience in application security, security engineering, or a closely related discipline, with a track record of driving substantial security initiatives from design through to production
  • Deep, hands-on expertise across most of the following: cloud account/organization security (AWS preferred), IAM and least-privilege design, Kubernetes and container security, network security and zero-trust access (e.g., Tailscale, mTLS), web application security (WAF, CSP, authentication/anti-abuse), security observability (SIEM/audit logging, CSPM, runtime detection), and secure SDLC/supply chain security (SAST/DAST, secret scanning, SBOM, artifact signing)
  • A working understanding of how AI is currently shaping the security landscape — both offensively (AI-assisted phishing, automated exploitation, LLM-specific attack surfaces) and defensively (AI-assisted detection, code review, and pentesting) — and the judgment to separate real risk and real value from hype
  • Demonstrated ability to go deep on a single domain when the problem demands it, and to reason credibly across all of them when setting priorities
  • Experience threat modeling new features and influencing engineering design decisions before code is written
  • Strong communication skills — able to translate security risk into terms that engineers, product managers, and leadership can act on
  • Comfort operating with significant autonomy in a fast-moving environment, and pulling in the right partners across the org to get things done

Bonus Points 

  • Experience securing multi-tenant SaaS platforms, including tenant-isolation testing or red-teaming
  • Relevant certifications (e.g., OSCP, GWAPT, GCSA, or similar) — nice to have, not required
  • Experience building or operating detection engineering programs (honeytokens, canary credentials, runtime threat detection)
  • Prior experience in a regulated or compliance-heavy environment (SOC 2, ISO 27001, etc.)
  • Hands-on experience securing AI/LLM-powered features or evaluating the security posture of AI coding tools and agentic workflows

We know many women do not apply for a job if they don\'t perfectly fit the description. We want you to apply anyway.

Why You Want to Work Here

Flexible Paid Time Off - you’re actually encouraged to use, plus 10 company holidays! 

❤️‍ Health Benefits - including Medical, Dental, and Vision and an HSA Match. 

401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.

Mental Health -  all employees have access to Impact Suite & to our Employee Assistance Program (EAP).

Paid New Parent Leave & Birthing Parent Leave - so you’re able to care for your little ones.

➕ Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.

Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians!

Company Events - including monthly company-wide meetings, summer parties, and more.

ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.

☕ Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We’ve got you covered. 

Our Values

We approach our work every day with a few things in mind:

Own - We own this place! We focus on outcomes, holding ourselves & each other accountable.

Win - We win by delighting our customers with the very best products and services.

Do Good - We work hard to be good people!

Embrace Curiosity & Candor - We approach everything with curiosity & we understand that candor is kindness and give the gift of feedback.

Act Startup Fast - We know the best way to become a world-class company is to always act like a tiny startup: fast, hungry, intense, and scrappy. But especially fast.

To learn more about us & our values, click here.

Interviewing @ Canopy

Application processes can be a little stressful. Here are the stages of a typical interview process at Canopy:

  • Once your application is received, we will review it and get back to you if we feel like it’s a mutual fit! 
  • 20-minute phone call with the People Team
  • 45-60-minute video or in-person interview with the Hiring Manager
  • 1-3 rounds of interviews, depending on the role
  • Final Interview

Interview processes can vary depending on the role. The People Team will give you a role-specific overview of the process during your first phone call. 

Remember: This is your interview too! We know candidates are evaluating us just as much as we are them. We encourage you to bring questions to each of your interviews—our hiring teams will always make sure to save time for questions at the end! 

Canopy is an equal-opportunity employer. Canopy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, or veteran status.


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