1

Ai Platform Engineer Jobs in Utah (NOW HIRING)

Staff, AI Platform Engineer

Lehi, UT ยท On-site

$200 - $250/hr

About This Role We are seeking a Principal AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety ...

About This Role We are seeking a Principal AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety ...

About This Role We are seeking a Principal AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety ...

About This Role We are seeking a Principal AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety ...

Data & AI Platform Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT ยท On-site +1

$118K - $156K/yr

... AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning ...

Senior Backend Engineer - AI Platform

Salt Lake City, UT ยท On-site +1

$118K - $156K/yr

... AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning ...

Device Experience Platform Developer

Lehi, UT ยท Remote

$115K - $218K/yr

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and ...

Senior Data Platform Engineer

Lehi, UT ยท On-site

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a high-impact Senior Data Platform Engineer to design, scale, and optimize our ...

Senior Data Platform Engineer

Lehi, UT

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a high-impact Senior Data Platform Engineer to design, scale, and optimize our ...

New

Senior Data Platform Engineer

Lehi, UT ยท On-site

$150 - $200/hr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a high-impact Senior Data Platform Engineer to design, scale, and optimize our ...

New

Senior Data Platform Engineer

Lehi, UT ยท On-site

$99K - $135K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a high-impact Senior Data Platform Engineer to design, scale, and optimize our ...

Senior Data Platform Engineer

Lehi, UT ยท On-site

$150 - $200/hr

Define and manage platform infrastructure as code * Build self-healing and observable systems ... Build tooling, SDKs, and self-service paths for Data Engineers, Software Engineers, and AI agents

New

next page

Showing results 1-20

Ai Platform Engineer information

See Utah salary details

$30

$58

$86

How much do ai platform engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for ai platform engineer in Utah is $58.22, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $67.16 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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

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

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

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

What cities in Utah are hiring for Ai Platform Engineer jobs?

Cities in Utah with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Utah as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $121,103 per year, or $58.2 per hour.

Staff, AI Platform Engineer

Nrg Bluewater Wind

Lehi, UT โ€ข On-site

$200 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Select how often (in days) to receive an alert:

Welcome to the intersection of energy and home services. At NRG, weโ€™re driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

Vivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions through groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes.

About This Role

We are seeking a Principal AI Platform Engineer to build the shared product-integrity layer for customer-facing AI systems. This role will create the evaluation, observability, safety, and launch-readiness infrastructure needed to ship AI features with measurable quality, reliability, and customer impact. In this role, you will be responsible to:

  • Build shared evaluation infrastructure for models, prompts, agents, and multimodal AI systems.
  • Own golden datasets, regression suites, offline and online evals, and LLM-as-judge governance.
  • Develop observability for model quality, latency, cost, drift, safety, and customer impact.
  • Create launch-readiness gates for AI features across camera, agentic, personalization, multimodal, and energy products.
  • Partner with Product, Analytics, Privacy, Security, and Engineering on trustworthy AI productization.
  • Define reusable standards for AI quality, monitoring, safety, and operational readiness.
Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field
  • 10+ years of software engineering, ML engineering, or AI platform experience
  • Experience evaluating, deploying, or monitoring production AI systems
  • Strong Python and data engineering skills
  • Experience with offline/online evaluation, data quality, model monitoring, or observability systems
  • Familiarity with LLM evaluation, prompt evaluation, model regression testing, or safety guardrails
  • Strong communication skills and ability to set standards across teams
Preferred Qualifications:
  • Experience with LLM-as-judge, agent tracing, multimodal evals, golden datasets, or automated regression suites
  • Experience with GCP/AWS, Vertex AI, SageMaker, MLflow, Datadog, OpenTelemetry, Private Cloud or similar tooling
  • Experience with privacy-aware AI systems, customer trust metrics, or launch-readiness processes
  • Experience supporting computer vision, GenAI, recommendation, or edge AI products
  • Experience building developer platforms or internal AI tooling
Working at Vivint:

Learn about the Vivint Culture and why itโ€™s a great place to grow your career!

Here are some highlighted perks you should ask us about:

  • Free daily lunch and drinks on site
  • Paid holidays and flexible paid time away
  • Employee/Friends/Family Discounts
  • Onsite health clinic, gym, gaming tables
  • Medical/dental/vision/life coverage & 24/7 Medical Hotline
  • 401(k) + Employer Match
  • Employee Resource Groups
  • Quarterly Innovation Weeks
WORKING CONDITIONS:

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

SAFETY:

Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each new employee is responsible for completing all training requirements. Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public. Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues. We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

#J-18808-Ljbffr