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Java Ai Developer Jobs in Orem, UT (NOW HIRING)

Motivosity

AI Product Builder

Lehi, UT · On-site

This is not a narrow frontend, backend, ML, or prompt-engineering role. We're looking for someone ... Java / Spring Boot experience. * TypeScript, Angular, React, or similar frontend experience. * AWS ...

UnitedHealth Group

Senior Software Engineer

Draper, UT · Remote

$91K - $163K/yr

  • Retirement

... maintaining core Java-based applications while optimizing enterprise build engineering and ... and AI-assisted developer tooling to inform solution design and strategic innovation. * Design ...

NiCE

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. • ... Java, or similar. • Expertise in Front End Technologies, preferably React or similar. • ...

NICE

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 C# and familiarity with Go, Java, or similar. * Expertise in Front End Technologies ...

MasterCard

Senior Software Engineer

Holladay, UT · On-site

$118K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role requires strong backend engineering expertise (Java), robust frontend development skills ... Experience in AI coding assistants tools like GitHub Copilot, Cursor, Claude Code, or Codex for ...

NICE

Senior Software Engineer, Actimize

Sandy, UT · On-site

$116K - $153K/yr

The role spans both modern and legacy Java web stacks, including authentication and access control ... Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently ...

NICE Systems

Senior Software Engineer, Actimize

Sandy, UT · On-site

$116K - $153K/yr

The role spans both modern and legacy Java web stacks, including authentication and access control ... Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently ...

New

Zions Bank

Senior SDET--Automation Architect

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong practical knowledge of AI-assisted testing tools , Python/Java/modern scripting languages, and DevOps pipelines (Git, Jenkins, CI/CD integration). * Expertise in API testing, microservices ...

New

Weave

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

... and devops. Teams are highly autonomous with the ownership and ability to act in Weave's best ... Many of the core Weave products/features (auto scheduling, AI/ML, real-time notifications, etc ...

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How much do java ai developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for java ai developer in Orem, UT is $49.29, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $55.19 per hour, depending on experience, location, and employer.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.

What are the key skills and qualifications needed to thrive as a Java AI Developer?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

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AI Product Builder

Motivosity

Lehi, UT • On-site

Full-time

Re-posted 22 days ago

Job description

About Motivosity
Motivosity is an employee recognition, rewards, and engagement platform. We help companies build cultures where people feel seen, connected, and appreciated - through peer-to-peer recognition, awards and milestones, spending accounts, manager tools, and eNPS surveys that track how engagement moves over time.
Our engineering mission is to delight customers through unparalleled speed, quality, and reliability. That commitment is concrete: rewards and recognition are delivered on time, to the right person, with the correct reward; every financial transaction is recorded and reconciled; and the platform is built to scale to companies of 100,000+ employees without disruption.
About the role
We're hiring an AI Product Builder to help us turn Motivosity into an AI-first platform - and to ship the practical AI features and internal tools that prove it.
Motivosity is putting more product ownership and decision-making into the hands of the people closest to the code, the customer problem, and the technical possibilities. This is not a narrow frontend, backend, ML, or prompt-engineering role. We're looking for someone who can own a full product workflow end-to-end and use AI to move faster, fill gaps, prototype quickly, and ship useful software.
The goal is not flashy demos. The goal is to ship software that saves time, improves quality, and creates measurable value for our customers and internal teams - in a recognition-and-rewards space where we intend to be the technology leader for AI.
What you'll do
  • Own AI-powered product and internal workflow projects from start to finish.
  • Turn ambiguous ideas into working software without needing every requirement defined upfront.
  • Make product and technical decisions based on customer value, feasibility, risk, and speed of learning.
  • Build across the full stack: frontend, backend, APIs, databases, integrations, AI workflows, tests, and deployment.
  • Use AI tools as your default execution layer for design, coding, testing, debugging, documentation, and analysis - then apply your own judgment to review and approve the result.
  • Build practical AI features using LLMs, structured outputs, retrieval, agents, and tool-calling where appropriate.
  • Create simple evals and feedback loops to verify AI features actually work.
  • Monitor usage, quality, cost, latency, errors, and user feedback after launch.
  • Work directly with product, engineering, support, customer success, and leadership to find high-value problems.
  • Ship small, useful things quickly and iterate based on real usage.

What we're looking for
  • Strong full-stack engineering experience and the ability to own production-quality code.
  • Ability to independently own projects from discovery through production.
  • Strong product judgment and the ability to make decisions without waiting for perfect requirements.
  • Strong backend, frontend, database, and API skills.
  • Experience building real software, not just prototypes.
  • Practical experience using AI tools to accelerate engineering work.
  • Hands-on experience with LLMs, agents, retrieval/RAG, structured outputs, or AI workflow automation.
  • Comfort working directly with customers, internal users, PMs, designers, and business leaders.
  • Strong debugging skills across the entire stack.
  • Good judgment around security, privacy, permissions, and customer trust - especially important given we handle company budgets, employee wallets, and PII.
  • Clear communication with both technical and non-technical teams.

Nice to have
  • Java / Spring Boot experience.
  • TypeScript, Angular, React, or similar frontend experience.
  • AWS or cloud deployment experience.
  • Experience with OpenAI, Anthropic, Gemini, Bedrock, LangChain, LangGraph, Langfuse, LangSmith, Braintrust, or similar tools.
  • Experience building or consuming MCP servers / connectors.
  • Experience in B2B SaaS, HR tech, customer support, customer success, or internal automation workflows.

If you're an engineer who wants to own real problems end-to-end, use AI as a force multiplier, and help define how AI shows up in the recognition space we'd love to talk!

Apply