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Genai Engineer Jobs in Utah (NOW HIRING)

Judge Group, Inc.

Integration Engineer

Salt Lake City, UT · On-site

$55 - $58/hr

Integration Engineer Location: Salt Lake City, UT Work Model: Onsite Employment Type: Contract-to ... Experience using AI/GenAI-enabled development tools, including GitHub Copilot. By providing your ...

Healthfirst

Sr AI Security Engineer

Layton, UT · On-site

$120 - $194/hr

The Sr AI Security Engineer continuously monitors the vulnerability of the enterprise and develops ... Familiarity with OWASP guidance for LLM/GenAI applications, MITRE ATLAS, or NIST AI security ...

Nrg Bluewater Wind

Staff, AI Platform Engineer

Lehi, UT · On-site

$165 - $240/hr

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 ...

New

NRG

Principal, AI Platform Engineer

Lehi, UT

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 ...

New

NRG

Principal, AI Platform Engineer

Lehi, UT

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 ...

NRG

Principal, AI Platform Engineer

Lehi, UT · On-site

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 ...

Socket.dev

Senior Engineer - Machine Learning

Midvale, UT · On-site

$140 - $210/hr

As a Senior Engineer, Machine Learning at Berkadia, you'll be at the forefront of applying cutting ... Stay up-to-date with the rapidly evolving ML and GenAI landscape; self-learning and curiosity are ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

Entrata

Director of Engineering, Payments

Lehi, UT

Director of Engineering Payments provides strategic leadership and operational oversight for ... Leverage company-approved GenAI tools as a "Human-in-the-Loop" to automate routine tasks while ...

Entrata

Director of Engineering, Payments

Lehi, UT · On-site

$170K - $278K/yr

Director of Engineering Payments provides strategic leadership and operational oversight for ... Leverage company-approved GenAI tools as a "Human-in-the-Loop" to automate routine tasks while ...

Entrata

Director of Engineering, Payments

Lehi, UT · On-site

$170K - $278K/yr

Director of Engineering Payments provides strategic leadership and operational oversight for ... Leverage company-approved GenAI tools as a "Human-in-the-Loop" to automate routine tasks while ...

Entrata

Director of Engineering, Payments

Lehi, UT · On-site

$170 - $278/hr

Director of Engineering Payments provides strategic leadership and operational oversight for ... Leverage company-approved GenAI tools as a "Human-in-the-Loop" to automate routine tasks while ...

BambooHR

Staff Data Scientist

Draper, UT · Hybrid

... engineers across the team through design reviews, pairing, and knowledge sharing. * Stay current on emerging techniques--including agentic and GenAI-powered analytics--and evaluate and recommend new ...

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Showing results 21-40

All JobsGenai Engineer JobsGenai Engineer Jobs in Utah

Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

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

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

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

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

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Utah as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Integration Engineer

Judge Group, Inc.

Salt Lake City, UT • On-site

$55 - $58/hr

Other

Posted 19 days ago

Job description

Location: Salt Lake City, UT Salary: $55.00 USD Hourly - $58.00 USD Hourly Description:
Integration Engineer
Location: Salt Lake City, UT
Work Model: Onsite
Employment Type: Contract-to-Hire (6+ Month Contract with Potential for Full-Time Conversion)
About the Role
As an Integration Engineer, you will help build and modernize the integration services that power a connected enterprise. You will design, develop, and support scalable APIs, event-driven platforms, and cloud-native integration solutions that enable secure communication between applications, data platforms, and business systems.
You will work with modern technologies including Python, Apache Kafka, Docker, Kubernetes, REST APIs, and CI/CD automation while collaborating across engineering, cloud, data, infrastructure, and security teams. This role is ideal for an engineer who enjoys solving complex integration challenges, implementing API security best practices, and driving modernization initiatives through automation and emerging technologies.
What You'll Do
  • Design, develop, test, deploy, and maintain enterprise integration services, middleware solutions, and REST APIs using Python and modern integration patterns.
  • Build secure API ecosystems by implementing authentication, authorization, OAuth 2.0, JWT, JWE, HMAC, and service-to-service security frameworks.
  • Develop and support Kafka-based event-driven architectures, including producers, consumers, topic management, resiliency, and message processing.
  • Create and manage containerized integration services using Docker and Kubernetes while applying cloud-native and microservices best practices.
  • Design and optimize CI/CD pipelines, automated testing frameworks, source control processes, and release automation workflows.
  • Implement integrations using REST/JSON, SOAP, XML, XSD, and WSDL across enterprise platforms and applications.
  • Work with API management and middleware technologies, including Apigee Edge/Hybrid and IBM App Connect Enterprise (ACE).
  • Monitor, troubleshoot, and optimize production integration services, performing root cause analysis and driving reliability improvements.
  • Collaborate with application development, cloud, security, architecture, and data teams throughout the software development lifecycle.
  • Evaluate and leverage emerging technologies, including AI-assisted development tools, GitHub Copilot, Databricks, and Data-as-a-Service (DaaS) capabilities.
  • Contribute to reusable integration frameworks, engineering standards, automation initiatives, and technical documentation.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
  • Experience developing enterprise-grade applications and integration services using Python.
  • Experience designing, developing, and supporting REST APIs and JSON-based integrations.
  • Experience implementing API security standards, including OAuth 2.0, JWT, authentication, authorization, and secure communication protocols.
  • Experience with Apache Kafka and event-driven architecture patterns.
  • Experience developing and deploying containerized applications using Docker and Kubernetes.
  • Experience with CI/CD pipelines, DevOps methodologies, Git, automated testing, and release automation.
  • Experience working in Agile or SAFe software development environments.
  • Strong troubleshooting, analytical, and production support experience.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with Apigee Edge, Apigee Hybrid, or other enterprise API management platforms.
  • Experience with IBM App Connect Enterprise (ACE) or similar middleware/integration platforms.
  • Knowledge of SOAP, XML, XSD, and WSDL technologies.
  • Experience with Databricks and modern data integration architectures.
  • Experience with API governance, lifecycle management, reusable integration frameworks, and enterprise API standards.
  • Experience with Behavior-Driven Development (BDD) and automated testing practices.
  • Knowledge of monitoring, observability, performance optimization, and distributed systems reliability.
  • Experience using AI/GenAI-enabled development tools, including GitHub Copilot.

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This job and many more are available through The Judge Group. Please apply with us today!

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