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Senior Ai Developer Jobs in Utah (NOW HIRING)

Sr. AI Engineer

Salt Lake City, UT · Hybrid

$118K - $156K/yr

OPT or H-1B visa) for this role *** Sr. Engineer, AI Job Summary The Senior AI Engineer is responsible for designing and delivering scalable full-stack AI systems, with ownership of both backend ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

OPT or H-1B visa) for this role *** Sr. Engineer, AI Job Summary The Senior AI Engineer is responsible for designing and delivering scalable full-stack AI systems, with ownership of both backend ...

Sr. AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Sr. AI Engineer Preferred Locations:Salt Lake City, UT; Louisville, KY, or Amsterdam (All Hybrid) About Packsize Packsize is redefining the way businesses and their customers use and experience ...

As a Senior AI Engineer, you will utilize your advanced professional expertise and experience to enhance and maintain the software products developed by Summit Wealth Systems. You will operate as an ...

Senior AI Engineer - Agentic

Lehi, UT · On-site

$98K - $134K/yr

The Role Podium is looking for a talented Senior AI Engineer to help build and scale our AI Agent platform -a powerful system that autonomously interacts with customers, handling millions of ...

Senior AI Security Engineer

Salt Lake City, UT · On-site

$110K - $151K/yr

As a Senior AI Security Engineer, you will lead the development and implementation of security frameworks for our end user and 3rd party SaaS AI systems, combining strategic thinking with hands-on ...

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$98K - $134K/yr

The Role Podium is looking for a talented Senior AI Engineer to help build and scale our AI Agent platform -a powerful system that autonomously interacts with customers, handling millions of ...

As Senior AI Specialist, you will build and ship production AI systems, shape how LVT adopts AI at ... Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering ...

As Senior AI Specialist, you will build and ship production AI systems, shape how LVT adopts AI at ... Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering ...

As Senior AI Specialist, you will build and ship production AI systems, shape how LVT adopts AI at ... Build and deploy RAG pipelines and Cortex-based models in partnership with Data Engineering ...

Senior AI Security Engineer

Lehi, UT · On-site

$107K - $147K/yr

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a ... engineering, data engineering, or a related technical field Working Conditions * Open office ...

Senior AI Security Engineer

UT · On-site

$107K - $147K/yr

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a ... engineering, data engineering, or a related technical field Working Conditions * Open office ...

Senior Software Engineer

Sandy, UT · Hybrid

$116K - $153K/yr

As a Senior Software Engineer on our CXone Outbound Dialer Data Platform team , you'll play a ... Experience with AI developer tools (e.g., Claude, Codex), Prompt Engineering, or RAG concepts

Senior Software Engineer

Sandy, UT · On-site

$116K - $153K/yr

As a Senior Software Engineer on our CXone Outbound Dialer Data Platform team , you'll play a ... Experience with AI developer tools (e.g., Claude, Codex), Prompt Engineering, or RAG concepts

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

We are looking for an Applied AI Engineer who can turn AI capability into secure, measurable, governed production systems, not prototypes or demos. This person will help define how O.C. Tanner builds ...

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Showing results 1-20

Senior Ai Developer information

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

What are the key skills and qualifications needed to thrive as a Senior AI Developer, and why are they important?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are Senior AI Developers?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are some common challenges faced by Senior AI Developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.
What are the most commonly searched types of Ai Developer jobs in Utah? The most popular types of Ai Developer jobs in Utah are:
What cities in Utah are hiring for Senior Ai Developer jobs? Cities in Utah with the most Senior Ai Developer job openings:
Infographic showing various Senior Ai Developer job openings in Utah as of July 2026, with employment types broken down into 70% Full Time, 21% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.

Sr. AI Engineer

Extra Space

Salt Lake City, UT • Hybrid

$118K - $156K/yr

Full-time

Re-posted 5 days ago


Job description

*** Please note that this is a HYBRID role, requiring this person to work at our Cottonwood Heights office in SLC three days a week. We are not able to provide work sponsorship (i.e. OPT or H-1B visa) for this role ***

Sr. Engineer, AI
Job Summary
The Senior AI Engineer is responsible for designing and delivering scalable full-stack AI systems, with ownership of both backend agent architecture and frontend application performance. This role focuses on system design, performance optimization, establishing best practices across agent development and data workflows, and testing, ensuring AI capabilities are delivered through intuitive and reliable user experiences. The Senior AI Engineer also mentors junior team members and plays a key role in improving system reliability, scalability, maintainability, and the robustness of AI agents.
Duties & Responsibilities

Design, implement, and maintain scalable AI agent architectures

Own and optimize RAG pipelines, including indexing and retrieval strategies

Architect and enhance Lambda-based data processing and indexing workflows

Design and improve React application architecture and state management

Ensure seamless integration between frontend interfaces and backend AI systems

Optimize user experience for AI-driven applications (latency, streaming, feedback loops)

Improve CI/CD pipelines and deployment processes across environments

Develop and execute AI agent testing strategies, including functionality tests, performance evaluation, and contributing to red-teaming exercises

Use DsPy or equivalent tools and methods to evaluate and improve AI agent performance

Analyze system performance using DataDog and Databricks; implement improvements

Mentor junior engineers and conduct code reviews across full-stack components

Contribute to technical standards, development best practices, and agent evaluation guidelines


Qualifications

5-7 years of experience

Proven experience building full-stack AI systems


Competencies

Strong proficiency in TypeScript and Python

Strong experience with React architecture and modern frontend patterns

Deep understanding of LLM systems, RAG, and agent orchestration frameworks (e.g. LangGraph)

Experience designing distributed and containerized systems

Strong experience with AWS and Azure architecture, including multi-service integration

Experience with DynamoDB and scalable storage patterns

Strong experience with Databricks for analytics, monitoring, and optimization

Familiarity with AI agent testing frameworks (such as DsPy or equivalent tools) and experience with red-teaming methodologies

Advanced debugging, troubleshooting, and performance optimization skills

Ability to define best practices for full-stack development and frontend-backend integration


Work Environment & Physical Requirements
Performs sedentary work in an office environment with limited lifting (less than 10 pounds) or walking required. Close visual acuity required to perform work at computer terminal. No exposure to adverse environmental conditions. Requires repetitive typing motion, talking, hearing, grasping and feeling.
Disclaimer
The job description outlines the general nature and scope of work employees perform in this role. It's not intended to be an exhaustive list of all duties, responsibilities, or qualifications required for the position. The company reserves the right to modify, revise, or update the job description to meet business needs.

If you are a current Extra Space employee, please apply through Jobs Hub in Workday.

We are anequal opportunityemployer andvalue diversityat our company. Wedo not discriminateon the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Applications Deadline: Applications will be accepted until the position is filled.