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Forward Deployed Engineer Jobs in Utah (NOW HIRING)

TCN

Site Reliability Engineer

Saint George, UT · On-site

$53.75 - $71.50/hr

Designs and deploys software/systems - Collaborates with development teams to throughout the ... TCN's technology stack and culture are positive and forward-thinking. When you join TCN, you are ...

TCN

Site Reliability Engineer

Saint George, UT · On-site

$50.75 - $67.50/hr

Designs and deploys software/systems - Collaborates with development teams to throughout the ... TCN's technology stack and culture are positive and forward-thinking. When you join TCN, you are ...

Packsize

Sr. AI Engineer

Salt Lake City, UT

$101K - $138K/yr

... forward. To us, packaging is much more than a box-it's deliveringwhat'sright for our customers ... Configure and deploy: * Azure OpenAI / model endpoints * Azure AI Search (vector + semantic ...

New

Deloitte

Senior GenAI Engineer

Salt Lake City, UT

$101K - $138K/yr

... deploy advanced software solutions.. Recruiting for this role ends on 29 June 2026. Work You'll Do ... Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean ...

ARUP

IT Cloud Engineer

Salt Lake City, UT · On-site

$53.75 - $72/hr

Work directly with application, clinical, and research teams to deploy, migrate, and modernize ... Bending body downward and forward by bending spine at the waist. Reaching: Extending hand(s) and ...

ARUP Laboratories

IT Cloud Engineer

Salt Lake City, UT

$53.75 - $72/hr

Work directly with application, clinical, and research teams to deploy, migrate, and modernize ... Bending body downward and forward by bending spine at the waist. Reaching: Extending hand(s) and ...

ARUP Laboratories

IT Cloud Engineer

Salt Lake City, UT · On-site

$53.75 - $72/hr

Work directly with application, clinical, and research teams to deploy, migrate, and modernize ... Bending body downward and forward by bending spine at the waist. Reaching: Extending hand(s) and ...

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All JobsForward Deployed Engineer JobsForward Deployed Engineer Jobs in Utah

Forward Deployed Engineer information

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How much do forward deployed engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for forward deployed engineer in Utah is $50.97, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $67.84 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

A Forward Deployed Engineer at top tech companies, such as those working for major cloud providers or AI firms, can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced technical skills, experience, and often involve working on high-impact projects in fast-paced environments.

What does a typical day look like for a Forward Deployed Engineer?

A typical day for a Forward Deployed Engineer involves working closely with clients to understand their unique needs, designing and implementing software solutions, and troubleshooting issues as they arise. You'll spend time writing code, configuring systems, and sometimes traveling to client sites to provide on-the-ground support. Collaboration is frequent, as you'll interact with both internal product teams and client stakeholders to ensure solutions are effective and aligned with project goals. This role offers variety and the opportunity to solve challenging, real-world problems while directly impacting the client's success.

How much does a Forward Deployed Engineer make?

A Forward Deployed Engineer typically earns between $100,000 and $160,000 annually, depending on experience, location, and company. They often work in fast-paced environments requiring strong technical skills and client interaction. Compensation may include bonuses and stock options in some organizations.

What are the key skills and qualifications needed to thrive in the Forward Deployed Engineer position, and why are they important?

A Forward Deployed Engineer needs strong problem-solving abilities, expertise in software engineering, and the capacity to work directly with clients, often backed by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), cloud platforms, and version control systems is commonly required, along with experience deploying technical solutions. Excellent communication, adaptability, and teamwork skills help these engineers excel when navigating client needs and collaborating with cross-functional teams. These capabilities are vital to delivering tailored solutions efficiently while ensuring successful client outcomes in demanding, real-world environments.

Is a Forward Deployed Engineer a good job?

A Forward Deployed Engineer is a technical role that involves working closely with clients to deploy and customize software solutions, often requiring strong problem-solving and communication skills. The position can be rewarding for those interested in client interaction, real-world application of engineering skills, and working in dynamic environments, but it may also involve travel and high-pressure situations. Overall, it is considered a valuable and competitive role within the tech industry.

What is a Forward Deployed Engineer job?

A Forward Deployed Engineer (FDE) is a technical role that combines software engineering with customer-facing problem-solving. FDEs work closely with clients to deploy, customize, and optimize software solutions, often integrating complex systems into their workflows. They need strong coding skills, domain expertise, and the ability to translate business needs into technical solutions. The role typically involves travel, hands-on implementation, and collaboration with internal engineering teams to enhance products based on real-world use cases. It is ideal for those who enjoy both technical challenges and direct customer engagement.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, cloud computing, or at major tech companies, can earn $300,000 or more annually. These roles often require extensive experience, advanced skills, and sometimes stock options or bonuses as part of compensation packages.
What are the most commonly searched types of Forward Deployed Engineer jobs in Utah? The most popular types of Forward Deployed Engineer jobs in Utah are:
What are popular job titles related to Forward Deployed Engineer jobs in Utah? For Forward Deployed Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Forward Deployed Engineer jobs in Utah look for? The top searched job categories for Forward Deployed Engineer jobs in Utah are:
What cities in Utah are hiring for Forward Deployed Engineer jobs? Cities in Utah with the most Forward Deployed Engineer job openings:
Forward Deployed Engineer jobs near you
Infographic showing various Forward Deployed Engineer job openings in Utah as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,025 per year, or $51 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Other

Posted 21 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