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Ai Engineer Contract Jobs in Utah (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to ...

System One

AI Engineer

Salt Lake City, UT · On-site

Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to ...

System One

AI Engineer

Salt Lake City, UT · On-site

Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to ...

System One

AI Engineer

Salt Lake City, UT · On-site

Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to ...

Kforce Technology Staffing

AI Engineer

Draper, UT · On-site

The ideal candidate is a hands-on engineer who uses modern AI development tools to move quickly ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

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Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

What are the key skills and qualifications needed to thrive as an AI engineer contract, and why are they important?

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are the most commonly searched types of Ai Engineer jobs in Utah?

The most popular types of Ai Engineer jobs in Utah are:

What are popular job titles related to Ai Engineer Contract jobs in Utah?

For Ai Engineer Contract jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Utah look for?

The top searched job categories for Ai Engineer Contract jobs in Utah are:

What cities in Utah are hiring for Ai Engineer Contract jobs?

Cities in Utah with the most Ai Engineer Contract job openings:

Ai Engineer Contract jobs near you
Infographic showing various Ai Engineer Contract job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Engineer

System One

Salt Lake City, UT • On-site

Contractor

Re-posted 14 days ago

Job description

Job Title: Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description: Junior AI Engineer Position Description Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients, solving complex business and technical challenges. You’ll collaborate with a high-performing team, contribute to impactful client solutions, and gain hands-on experience with cutting-edge AI and cloud-native technologies. This position is based onsite at a client location in the Salt Lake City, UT area! Your future duties and responsibilities How you'll make an impact • Design and develop AI-driven product features using ML, GenAI, and LLMs • Build and deploy scalable AI systems using cloud-native architectures • Implement RAG pipelines, vector databases, and conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model serving • Containerize and orchestrate applications using Docker and Kubernetes • Ensure system reliability, scalability, security, and cost efficiency • Collaborate cross-functionally with product, engineering, and business teams Required qualifications to be successful in this role What you'll bring • Up to 2 years of experience in engineering or related roles • Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph) • Understanding of agent design patterns and evaluation techniques • Experience with Model Context Protocol (MCP) servers • Proficiency in Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices • Experience with Docker, Kubernetes, and CI/CD pipelines • Understanding of microservices architecture and API development • Knowledge of serverless design, 12-factor apps, autoscaling, and high availability • Strong problem-solving and communication skills

Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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