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Remote Azure Jobs in Utah (NOW HIRING)

Vasion

Solutions Engineer

Lehi, UT · Remote

Remote; Ability to travel up to 25% * Sales motion: Technical consultative selling across net-new ... Print, Workflow, and Output Automation across IL4-IL6 cloud stacks (AWS GovCloud, Azure Government ...

Strong Tower Partners

Regression Tester

Orem, UT · On-site +1

$110K - $130K/yr

... Azure DevOps). * Collaborate with developers, QA engineers, and product managers to ensure all ... Flexible remote/hybrid work options. * Contribute to cutting-edge recruitment and analytics ...

Motorola

Software Engineer

Salt Lake City, UT · Remote

Design systems for remote device provisioning, configuration, and software updates * Improve ... Experience working in cloud environments (Azure preferred) * Strong debugging and performance ...

Waterford.org

Helpdesk Manager

Taylorsville, UT · Remote

#LI-remote Location: Salt Lake City, UT (Hybrid as business needs require) Position Summary The Help ... Oversee support for Windows, macOS, mobile devices, Google Workspace, Microsoft 365, Azure Active ...

Wsgr

Senior Software Developer

Salt Lake City, UT · On-site +1

$147K - $198K/yr

You will work closely with a fully remote team of designers, developers, and stakeholders to add ... Azure The primary location for this job posting is in Palo Alto, but other locations may be listed.

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$55.5K

$93.8K

$117.4K

How much do remote azure jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote azure in Utah is $93,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote Azure professionals, and how can they be effectively managed?

Remote Azure professionals often face challenges such as coordinating across distributed teams, managing cloud resources securely, and staying current with frequent Azure platform updates. Overcoming these challenges involves proactive communication using collaboration tools, adhering to best practices for cloud security, and dedicating time for ongoing learning through official Microsoft resources. Regularly participating in team meetings and leveraging automation can also help streamline workflows and ensure alignment with organizational goals.

What is a remote Azure?

A Remote Azure job refers to a position where professionals work from a location outside the traditional office environment, focusing on Microsoft Azure, which is a cloud computing platform. These roles typically involve managing, developing, deploying, or maintaining cloud-based solutions using Azure services and tools. Common job titles include Azure Cloud Engineer, Azure Administrator, or Azure Developer, and tasks may involve configuring virtual machines, managing databases, ensuring cloud security, or automating deployments. Remote Azure professionals use collaboration tools to communicate with their teams and may support clients or internal projects across different time zones.

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

To thrive as a Remote Azure Engineer, you need expertise in cloud computing, networking, and security, typically backed by experience with Microsoft Azure and relevant certifications such as Azure Administrator or Azure Solutions Architect. Familiarity with Azure DevOps, PowerShell scripting, and infrastructure-as-code tools like ARM templates or Terraform is often required. Strong problem-solving skills, self-motivation, and effective remote communication abilities make candidates stand out in this role. These skills and qualities are crucial for ensuring secure, efficient cloud solutions and seamless collaboration in distributed teams.
What are the most commonly searched types of Azure jobs in Utah? The most popular types of Azure jobs in Utah are:
What are popular job titles related to Remote Azure jobs in Utah? For Remote Azure jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Azure jobs in Utah look for? The top searched job categories for Remote Azure jobs in Utah are:
What cities in Utah are hiring for Remote Azure jobs? Cities in Utah with the most Remote Azure job openings:
Remote Azure jobs near you
Infographic showing various Remote Azure job openings in Utah as of August 2026, with employment types broken down into 86% Full Time, 1% Part Time, and 13% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $93,768 per year, or $45.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salt Lake City, UT • Remote

Full-time

Re-posted 16 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