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Remote Business Process Automation Jobs in Utah (NOW HIRING)

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site +1

Beyond just maintaining tests, you will be deeply embedded in our development process, engineering ... is remote eligible for candidates who currently reside in Utah. What You'll Do * API Test ...

UMB Financial

Business Systems Analyst III

Ogden, UT · Remote

$98K - $144K/yr

Automation & tooling: Partner with our existing VBA/Excel automation to identify what should be ... able to document processes clearly. * Self-starter who can work independently in a remote ...

NRG

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Improve internal cybersecurity use cases by implementing AI and conventional process automation ... Ability to understand and articulate tradeoffs between security and business outcomes * Ability to ...

NRG

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Improve internal cybersecurity use cases by implementing AI and conventional process automation ... Ability to understand and articulate tradeoffs between security and business outcomes * Ability to ...

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Remote Business Process Automation information

What is the difference between Remote Business Process Automation vs Remote Business Analyst?

AspectRemote Business Process AutomationRemote Business Analyst
Required credentialsCertifications in automation tools (e.g., UiPath, Blue Prism), technical skillsBusiness analysis certifications (e.g., CBAP, PMI-PBA), analytical skills
Work environmentTechnical teams, automation projects, process improvementStakeholder communication, requirements gathering, data analysis
Employer & industry usageIT departments, automation service providers, manufacturing, financeConsulting firms, finance, healthcare, technology

Remote Business Process Automation focuses on designing and implementing automation solutions to streamline workflows, requiring technical skills and automation certifications. Remote Business Analysts analyze business needs, gather requirements, and facilitate communication between stakeholders. While both roles support process improvement, automation specialists are more technical, whereas analysts focus on understanding and documenting business processes.

What are popular job titles related to Remote Business Process Automation jobs in Utah? For Remote Business Process Automation jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Business Process Automation jobs in Utah look for? The top searched job categories for Remote Business Process Automation jobs in Utah are:
What cities in Utah are hiring for Remote Business Process Automation jobs? Cities in Utah with the most Remote Business Process Automation job openings:
Remote Business Process Automation jobs near you
Infographic showing various Remote Business Process Automation job openings in Utah as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salt Lake City, UT • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply