1

Ai Integration Engineer Jobs in Provo, UT (NOW HIRING)

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

... AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since ... As a Sensor Integration Engineer II (Camera Systems Test Engineer), you'll own how our IP camera ...

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

... AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since ... As a Sensor Integration Engineer II (Camera Systems Test Engineer), you'll own how our IP camera ...

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments. How will you make an impact? Build and scale AI-driven workflows and ...

Software Integration Engineer (SIE) 3

Bluffdale, UT · On-site

$100K - $135K/yr

Python Programming * GCC compiler * Multi-threaded software * Parallel processing * CORBA, J2EE ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Software Integration Engineer (SIE) 3

Bluffdale, UT · On-site

$100K - $135K/yr

Python Programming * GCC compiler * Multi-threaded software * Parallel processing * CORBA, J2EE ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments. How will you make an impact? • Build and scale AI-driven workflows and ...

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in unit testing, integration testing, feasibility assessments, and systems ...

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in unit testing, integration testing, feasibility assessments, and systems ...

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Participate in unit testing, integration testing, feasibility assessments, and systems ...

Software Engineer III

Lehi, UT · On-site

$100 - $140/hr

Engineer III US - Lehi, Utah (Remote-friendly) RLDatix is on a mission to transform care delivery ... Docker, Terraform, OpenSearch/ElasticSearch, automated CI/CD, and AI integration or ...

Software Engineer III

Lehi, UT · On-site

$54 - $72.50/hr

Engineer III US - Lehi, Utah (Remote-friendly) RLDatix is on a mission to transform care delivery ... Docker, Terraform, OpenSearch/ElasticSearch, automated CI/CD, and AI integration or agent-building ...

Software Engineer III

Lehi, UT · Remote

$54 - $72.50/hr

We're searching for a US-based Engineer III to join our OneSource product team, so that we can ... Docker, Terraform, OpenSearch/ElasticSearch, automated CI/CD, and AI integration or agent-building ...

next page

Showing results 1-20

Ai Integration Engineer information

See Provo, UT salary details

$42.1K

$117.6K

$164.1K

How much do ai integration engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai integration engineer in Provo, UT is $117,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $132,400.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Provo, UT?

For Ai Integration Engineer jobs in Provo, UT, the most frequently searched job titles are:

What cities near Provo, UT are hiring for Ai Integration Engineer jobs?

Cities near Provo, UT with the most Ai Integration Engineer job openings:

Infographic showing various Ai Integration Engineer job openings in Provo, UT as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,881 per year, or $56.7 per hour.

Middleware / Integration Engineer

Midvale, UT • On-site

Login Consulting Services, Inc.
IT Services • 11 - 50 employees

Contractor

Posted 8 days ago


Job description

A leading Consulting Firm is seeking a Middleware / Integration Engineer for a 6+ month contract-to-hire role.
We are seeking an experienced Middleware / Integration Engineer to design, develop, and modernize secure, scalable, and cloud-ready API, data, and enterprise integration solutions. In this role, you'll work with modern technologies including Python, Apache Kafka, REST APIs, Docker, Kubernetes, and CI/CD automation to build reliable integration services that connect applications, data, and platforms across the enterprise. You'll have the opportunity to strengthen API security, advance event-driven architecture, modernize legacy integration patterns, and improve engineering efficiency through automation and emerging technologies.
The ideal candidate combines strong hands-on software and integration engineering skills with an understanding of API security, event-driven architectures, microservices, containerized deployments, and DevOps practices

Experience with technologies such as Apigee, IBM App Connect Enterprise (ACE), Databricks, and AI-assisted development tools is especially valuable.
Location: Onsite at the client location in the Salt Lake City, UT area
Your future duties and responsibilities
How You'll Make an Impact
As a Middleware / Integration Engineer, you will help modernize the technologies and engineering practices that connect critical enterprise systems. You will:
. Design, develop, test, deploy, and maintain scalable middleware, REST API, data, and enterprise integration services using Python and modern integration patterns.

Develop secure APIs and implement enterprise API security standards, including OAuth/OAuth 2.0, JWT, JWE, HMAC, authentication, authorization, and secure service to service communication.
. Design and implement Kafka based event driven integrations, including producers, consumers, topics, message processing, exception handling, resiliency, and connectivity with enterprise applications.
. Build and deploy containerized middleware and integration services using Docker and Kubernetes, applying cloud native, microservices, scalability, availability, and resiliency best practices.

Design, enhance, and maintain automated CI/CD pipelines, source control practices, automated testing, release automation, and DevOps processes that enable reliable and repeatable software delivery.
. Develop and support REST/JSON based integrations while working with enterprise integration technologies such as Apigee Edge/Hybrid, IBM App Connect Enterprise (ACE), SOAP, XML, XSD, and WSDL where appropriate.
. Troubleshoot complex integration and production issues, conduct root cause analysis, optimize performance, and improve the reliability and observability of production services.

Participate in periodic on call support and collaborate with engineering and operations teams to resolve critical production incidents.
. Partner with application, data, cloud, security, and architecture teams throughout the Agile software development lifecycle to deliver integrated enterprise solutions.
. Evaluate and apply emerging technologies and engineering practices, including AI/GenAI, GitHub Copilot, Databricks, Data as a Service (DaaS), and modern API management capabilities, to improve development efficiency and solution quality.

Contribute to reusable integration patterns, engineering standards, automation, and technical documentation that improve consistency and accelerate future delivery.
Required qualifications to be successful in this role
What You'll Bring
. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, along with relevant professional experience in middleware, software engineering, API development, or enterprise integration.
. Strong hands-on development experience with Python, REST APIs, and JSON, including designing, developing, testing, troubleshooting, and supporting enterprise-grade integration services.

Strong knowledge of secure API design and API security technologies, including OAuth/OAuth 2.0, JWT, JWE, HMAC, authentication, authorization, and service-to-service security patterns.
. Hands-on experience with Apache Kafka and event-driven architectures, including developing and supporting message-driven integration solutions.
. Experience building and deploying applications or integration services using Docker, Kubernetes, containers, microservices, and cloud native architectural patterns.

Experience with CI/CD, DevOps, Git/source control, automated testing, and release automation in modern software delivery environments.
. Experience working within Agile and/or SAFe SDLC environments, collaborating effectively with cross-functional engineering teams.
. Strong analytical and troubleshooting capabilities, including experience supporting production systems, performing root cause analysis, and resolving complex integration issues.

Strong written and verbal communication skills with the ability to collaborate effectively across application, data, cloud, infrastructure, security, and architecture teams.
We're especially interested in candidates with experience in:
. Enterprise API management platforms such as Apigee Edge or Apigee Hybrid.
. IBM App Connect Enterprise (ACE) or comparable enterprise integration/middleware platforms.

Enterprise web service technologies including SOAP, XML, XSD, and WSDL.
. Modern data platforms and integration patterns involving Databricks and Data as a Service (DaaS).
. API lifecycle management, governance, reusable integration patterns, and enterprise API standards.

Behavior-Driven Development (BDD) and other automated testing practices.
. Monitoring, observability, performance optimization, and production reliability for distributed integration services.
. AI/GenAI and AI-assisted software engineering tools, including GitHub Copilot.
What Makes You Successful
You'll thrive in this role if you enjoy solving complex integration challenges and working at the intersection of applications, APIs, data, cloud, and security

You bring an engineering mindset to integration?building solutions that are not only functional, but also secure, observable, automated, resilient, and maintainable.
You are comfortable moving between hands on development and production troubleshooting, collaborating with multidisciplinary technical teams, and continuously looking for opportunities to simplify delivery through automation and reusable engineering practices.
If you're excited about modernizing enterprise integration, building secure APIs and event driven solutions, and applying cloud native and AI assisted engineering practices to meaningful technology challenges, we'd like to hear from you.
Education:Employment Type: CONTRACTOR