ZipRecruiter

Log In

2

Remote Ai Implementation Jobs in Farmington, UT (NOW HIRING)

Deloitte

Epic Denials Manager

Salt Lake City, UT · Remote

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

Instead

Tax Manager

Salt Lake City, UT · On-site +1

$107K - $140K/yr

Lead on-site implementation sessions and remote onboarding calls, configuring Instead for each firm ... AI * You can turn a messy customer workflow into a clear pilot plan, adoption framework, and ...

Wsgr

Practice Support Lawyer, M&A

Salt Lake City, UT · On-site +1

This position is available on a hybrid or fully remote basis. About the Role As PSL, you will serve ... AI Strategy & Implementation * Serve as the M&A group's primary point of contact and internal ...

Instead

Tax Manager

Salt Lake City, UT · On-site +1

$107K - $140K/yr

Lead on-site implementation sessions and remote onboarding calls, configuring Instead for each firm ... AI * You can turn a messy customer workflow into a clear pilot plan, adoption framework, and ...

previous pagenext page

Showing results 21-40

All JobsAi Implementation JobsRemote Ai Implementation JobsRemote Ai Implementation Jobs in Farmington, UT

Remote Ai Implementation information

See Farmington, UT salary details

$25

$48

$76

How much do remote ai implementation jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote ai implementation in Farmington, UT is $48.76, according to ZipRecruiter salary data. Most workers in this role earn between $36.49 and $57.93 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are popular job titles related to Remote Ai Implementation jobs in Farmington, UT?

For Remote Ai Implementation jobs in Farmington, UT, the most frequently searched job titles are:

What cities near Farmington, UT are hiring for Remote Ai Implementation jobs?

Cities near Farmington, UT with the most Remote Ai Implementation job openings:

Remote Ai Implementation jobs near you
Infographic showing various Remote Ai Implementation job openings in Farmington, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $101,424 per year, or $48.8 per hour.

Senior Java Developer (Business Automation & AI)

The AES Group

Taylorsville, UT • Remote

$58.50 - $74.75/hr

Contractor

Re-posted 27 days ago

Job description

Job Title: Senior Java Developer (Business Automation & AI)
Location: Remote, USA

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.
 

What you’ll do

  • Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.
  • Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.
  • Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.
  • Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.
  • Deploy and scale business automation services in Kubernetes/OpenShift environments.
  • Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

Required skills & experience

  • 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.
  • Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Proven experience with Kogito for cloud-native business processes.
  • Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).
  • Strong working knowledge of Amazon S3 for document storage and metadata tagging.
  • Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.
  • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

Nice to have

  • Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).
  • Python exposure for document parsing/automation.
  • Knowledge of BPMN 2.0 standards.
  • AWS certifications (Developer Associate and/or Machine Learning Specialty).

Ready to make an impact? Apply now and join us on our journey!