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Ai Platform Engineer Jobs in Roy, UT (NOW HIRING)

Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... Forward Deployed Engineer Location: South Ogden, Utah Work Environment: Hybrid Clearance Required:

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus What You'll Gain: * Mentoring and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus What You'll Gain: * Mentoring and ...

Forward Deployed Engineer Location: South Ogden, Utah Work Environment: Hybrid Clearance Required ... Our AI-powered platform equips the world's most important institutions with the intelligence they ...

Design, develop, integrate, and test embedded real-time software using platforms such as VxWorks ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Software Engineer

Salt Lake City, UT ยท On-site

$59.57/hr

Integrate software on hardware platforms using system-level user interfaces and identify software ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

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Ai Platform Engineer information

See Roy, UT salary details

$31

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How much do ai platform engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai platform engineer in Roy, UT is $61.00, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $70.38 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 job categories do people searching Ai Platform Engineer jobs in Roy, UT look for?

The top searched job categories for Ai Platform Engineer jobs in Roy, UT are:

What cities near Roy, UT are hiring for Ai Platform Engineer jobs?

Cities near Roy, UT with the most Ai Platform Engineer job openings:

DevOps Platform Engineer

Hill Air Force Base, UT โ€ข On-site

Phase2 Technology
Software Developmentย โ€ขย 51 - 200 employees

$62 - $141/hr

Other

Medical, Life, Retirement, PTO

Posted 11 days ago


Job description

DevOps Platform Engineer Overview

Are you looking for an opportunity to make a difference? What if you could find a position that is tailor made for your mix of development, engineering, and communication skills? Efficient software development teams make the most of their time by limiting the activities that take developers away from writing their code. That's why we need you, an experienced DevSecOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of digital citizens and mission workers who need them to drive innovation in the nation.

As a DevSecOps engineer on our team, you'll use your development experience to streamline our software development lifecycle from requirements to monitoring in production. You'll incorporate open-source tools, automation, and cloud resources to cut down on tedious, boring tasks and free up the team's developers to do what they do best โ€“ innovate. You'll implement continuous integration and delivery to limit manual testing and troubleshooting. This is an opportunity to build your experience in modern, cloud native software development.

Youโ€™ll work in a dynamic, large team environment supporting a large-scale government program, using nextโ€‘gen tools, standards, and processes, including Kubernetes, GitLab CI, Ansible, CloudFormation, Terraform, Terragrunt, and Python. In this role, youโ€™ll design and develop DevOps pipeline to drive rapid delivery of functionality using CI/CD tools like GitLab, Jenkins, Ansible, or AWS CodeDeploy. You'll use state of the art diagnostic tools and monitoring systems to provide analysis on web application errors, including the identification and investigation of application behavior through code and log analysis and business logic.

Qualifications
  • 2+ years of experience in an Infrastructure, DevOps, or Site Reliability Engineer role
  • 2+ years of experience deploying containerized applications
  • 2+ years of experience with Amazon Web Services (AWS)
  • Experience with Kubernetes
  • Experience with Agile methodologies and practices
  • Experience with Infrastructure as Code, including Terraform, or Configuration as Code, including Ansible
  • Secret clearance
  • Bachelor's degree
  • Ability to obtain a DoD 8570 IAT Level II or IAT Level III Certification within 30 days of hire
Nice to Have
  • Experience with AI/ML/LLM implementations
  • Experience with AI/ML/LLM security such as Hidden Layer
  • Experience automating, monitoring and troubleshooting Kubernetes clusters in a production environment
  • Experience with GitOps tooling including Flux or Argo CD and Kustomize
  • Experience implementing Cloudโ€‘Native solutions to accelerate application development
  • Experience with Identity Authentication and Authorization, including Singleโ€‘Signโ€‘On, SAML, or OpenID
  • Knowledge of Linux or UNIX administration and automation
  • Bachelor's degree in CS, Computer Engineering, Mathematics, Statistics, or Engineering
  • AWS Certified Solutions Architect โ€“ Associate Certification or AWS Certified Developer โ€“ Associate Certification
Clearance Requirements

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation and Benefits

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total wellโ€‘being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, workโ€‘life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Fullโ€‘time and partโ€‘time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contractโ€‘specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
EEO Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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