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Ai Frontend Developer Jobs in Utah (NOW HIRING)

Senior Software Architect (AI, AWS, React, C#)

Sandy, UT · On-site

$123K - $167K/yr

... into engineering workflows, including tools like Claude Code, GitHub Copilot, or similar. • ... Front End Technologies, preferably React or similar. • Experience with relational and non ...

They are seeking a visionary Senior Backend Engineer to lead the architecture and development of AI ... of AI models. • Create and optimize RESTful APIs for seamless integration with frontend systems ...

Senior Software Architect (AI, AWS, React, C#)

Sandy, UT · On-site

$123K - $167K/yr

AI & Modern Engineering Integration * Integrate AI-assisted development practices into engineering ... Expertise in Front End Technologies, preferably React or similar. * Experience with relational and ...

Full-Stack Developer

Lehi, UT · On-site

$70K - $140K/yr

Complete devops or frontend tasks when necessary for a project to succeed. HOW WE BUILD WITH AI We expect engineers to use AI tools thoughtfully, to move faster and ship better work, while adhering ...

UX Designer

Orem, UT · On-site

$75K - $90K/yr

Actively exploring new design tools and methodologies, including AI-assisted workflows, to continuously sharpen craft and output * Collaborating cross-functionally with frontend developers and the ...

Senior Software Engineer

Holladay, UT

$118K - $155K/yr

You will contribute to Connect, the frontend component of our Open Finance applications, helping to ... Experience in AI prompt engineering to design, test, and refine prompts to improve the quality ...

Showing results 41-60

Ai Frontend Developer information

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

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is an AI frontend developer?

An AI frontend developer is a professional who designs and implements user interfaces that incorporate artificial intelligence features, such as chatbots, recommendation systems, or data visualization tools. They typically work with programming languages like JavaScript and frameworks like React or Angular, and may integrate AI models using APIs or machine learning libraries to enhance user experience.
What cities in Utah are hiring for Ai Frontend Developer jobs? Cities in Utah with the most Ai Frontend Developer job openings:

Senior Software Architect (AI, AWS, React, C#)

NICE

Sandy, UT

$123K - $167K/yr

Full-time

Re-posted 2 days ago


Job description

Senior Software Architect - AI & Distributed SystemsOverview

As a Senior Software Architect, you will play a critical role in defining and evolving the technical direction of our client-facing products and internal platforms. You will architect scalable, cloud-native, API-first systems while contributing to modern development workflows and AI-driven engineering practices. Your leadership will guide teams in building reliable, secure, high-performance distributed systems and integrating emerging AI capabilities-including conversational AI, AI-assisted development workflows, and platform-level automation.

What You'll DoArchitect & Lead
  • Set end-to-end technical direction, including platform vision, technology choices, architectural patterns, and infrastructure strategy.
  • Design, document, and evolve cloud-native, API-first systems integrating web clients, internal services, and external partners.
  • Architect distributed services that emphasize scalability, performance, reliability, observability, and security.
AI & Modern Engineering Integration
  • Integrate AI-assisted development practices into engineering workflows, including tools like Claude Code, GitHub Copilot, or similar.
  • Promote AI-driven automation such as test generation, code refactoring, dependency analysis, and large-scale codebase exploration.
  • Contribute to conversational AI platforms, messaging pipelines, data flows, and ML-adjacent integrations.
  • Identify opportunities to incorporate ML/AI capabilities into platform features and system components.
Delivery & Ownership
  • Own architecture through implementation, testing, deployment, monitoring, iteration, and long-term stewardship.
  • Align architecture with product strategy through tight collaboration with Product, Design, and Engineering.
  • Drive technical decisions and coordinate multi-team execution while elevating engineering standards.
Technical Excellence & Leadership
  • Provide mentorship and architectural guidance across teams.
  • Conduct thorough code and architecture reviews to raise engineering quality.
  • Improve CI/CD pipelines, development workflows, and operational excellence.
  • Diagnose and resolve complex performance bottlenecks across all layers of the stack.
  • Foster a culture of ownership, experimentation, continuous improvement, and AI-augmented engineering.
Required Qualifications
  • BS in Computer Science or equivalent experience.
  • 15+ years of software development experience.
  • 5+ years designing or architecting large-scale systems.
  • Expertise in C# and familiarity with Go, Java, or similar.
  • Expertise in Front End Technologies, preferably React or similar. 
  • Experience with relational and non-relational databases.
  • Experience with AI-assisted development tools.
  • Strong understanding of distributed systems and microservices.
  • Experience developing RESTful services and API-first architectures.
  • Working knowledge of CI/CD and DevOps tooling.
  • Strong communication and architectural documentation skills.
Preferred Qualifications
  • MS in Computer Science.
  • Experience with Azure cloud services (CosmosDB, Service Bus, App Services, etc.).
  • Experience with AWS or hybrid cloud environments.
  • Experience with Angular or modern web frameworks.
  • 2+ years formal architecture experience.
  • 7+ years technical leadership experience.
  • Experience integrating AI/ML capabilities into platforms.
  • Understanding of machine learning concepts.
  • Experience with telecommunications, real-time systems, or enterprise cloud platforms.
Why Join Us

You will influence the architectural direction of core platforms while shaping the future of the company's AI-First software engineering strategy. Work on systems at enterprise scale with teams committed to quality, innovation, and modern engineering excellence.