Top 499 General engineer Jobs in Salt Lake City, Ut

AI Engineer
University of Utah —Salt Lake City, UT
- $90,188 - $135,601 a year
- Full-time
- Hybrid work
- Pass drug screening
- HIPAA
- Master's degree
- Retirement plan
9d
HVAC/R Manager (Project Management and Estimating)
FIXNFINISH, LLC —Salt Lake City, UT
- $75,000 - $120,000 a year
- Full-time
- Background check
- Construction site
- System design
- Health insurance
- Dental insurance
Quick Apply
Industrial Refrigeration Service Technician
CIMCO Refrigeration —Salt Lake City, UT
- $66,000 - $120,000 a year
- Full-time
- Customer service
- Mid-level
- 3 years
- Paid holidays
- Disability insurance
Quick Apply
10d
NPI Engineering Technician
AuST Manufacturing —West Valley City, UT
- $20 - $25 an hour
- Full-time
- Spanish
- Engineering
- English
- Health savings account
- Relocation assistance
Quick Apply
Project Assessor - Seismic PTAN
Bureau Veritas —Salt Lake City, UT
- Part-time
- Clean driving record
- English
- Mid-level
Geotechnical Sales & Project Manager
Cell-Crete Corporation —South Salt Lake, UT
- Email
- Microsoft Excel
- Construction site
- Sales
- Paid holidays
- Health insurance
Quick Apply
Manufacturing Engineer I
Albany International Corp. —Salt Lake City, UT
- Microsoft Word
- Bachelor of Science
- Pass drug screening
- Paid time off
- 401(k) matching
Quick Apply
Architect/Architectural Designer
4C Group —Park City, UT
- $75,000 - $110,000 a year
- 8 hour shift
- Mid-level
- Office
- Residential
- Health savings account
- Health insurance
Quick Apply
Building Engineer
American Red Cross —Salt Lake City, UT
- Full-time
- Carpentry
- Computer literacy
- ERP systems
- Health savings account
- Paid holidays
Quick Apply
Construction Project Manager
E-Corp —Layton, UT
- From $95,000 a year
- Full-time
- Microsoft Word
- Background check
- Microsoft Excel
- Health insurance
- Dental insurance
Quick Apply
3d
Electrical BIM Modeler
Kodiak Labor Solutions —Salt Lake City, UT
- $90,000 - $110,000 a year
- Part-time
- Microsoft Excel
- Mid-level
- In-person
- Health savings account
- Paid holidays
Quick Apply
Security Systems Designer
Sigil —Salt Lake City, UT
- $75,000 - $100,000 a year
- Full-time
- Hybrid work
- AutoCAD
- Writing skills
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Piping Detailer (Must be Proficient with AutoCAD/SpoolCAD or Similar)
Pipe Fabricating & Supply Co. —Woods Cross, UT
- $22.50 - $30.50 an hour
- Overtime
- AutoCAD
- Microsoft Excel
- Microsoft Outlook
- Profit sharing
- Health insurance
Quick Apply
Electrical BIM Operator
Hunt Electric —Salt Lake City, UT
- Full-time
- Microsoft Excel
- Mid-level
- Office
- Disability insurance
- Health insurance
Quick Apply
Assistant Project Manager - Structural Steel
SME Steel - SME Industries —West Jordan, UT
- Full-time
- Microsoft Word
- Background check
- Microsoft Excel
- Health savings account
- Paid holidays
Quick Apply
Manager General Manufacturing 2
Northrop Grumman —Salt Lake City, UT
- $104,600 - $156,800 a year
- Overtime
- Schematics
- Master's degree
- Assembly
- Paid holidays
- Disability insurance
1d
Power Systems Engineer 2/3
Northrop Grumman —Magna, UT
- $79,300 - $147,600 a year
- Overtime
- Bachelor of Science
- System design
- Mid-level
- Paid holidays
- Disability insurance
1d
Engineer Supplier Quality / Principal Engineer Supplier Quality
Northrop Grumman —Salt Lake City, UT
- $72,100 - $155,400 a year
- Overtime
- Driver's License
- Bachelor's degree
- Driving
- Paid holidays
- Disability insurance
1d
Principal/Sr. Principal Engineer Tooling Level 3/4
Northrop Grumman —Layton, UT
- $89,400 - $167,500 a year
- Overtime
- Analysis skills
- Doctor of Philosophy
- Travel
- Paid holidays
- Disability insurance
1d
Electronic Assembler
Rantec Power Systems, Inc. —Layton, UT
- From $21 an hour
- Full-time
- ERP systems
- High school diploma or GED
- Organizational skills
- Health savings account
- Health insurance
1d

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AI Engineer

University of Utah -
Salt Lake City, UT

Apply Now

Job Details

Full-time
$90,188 - $135,601 a year
9 days ago

Benefits

Retirement plan

Qualifications

AI models
Containerization systems
IT governance
Software engineering
Cloud Logging
Continuous Delivery (CD) implementation
Engineering development testing
Requirements design
Implementing network security enhancements
Computer vision
Tooling
Application security management
Infrastructure as Code (IaC)
Improving system uptime or availability
Data pipeline automation
IT system monitoring
Regulatory compliance
Academic institution experience
System performance optimization
Software implementation
HIPAA
Engineering process optimization
FISMA
Application deployment
HITRUST
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Enterprise software systems development
Master's degree

Full Job Description

Artificial Intelligence (AI) / Machine Learning (ML) Engineers

The Utah Data Coordinating Center (DCC) is seeking an experienced AI Engineer to design, build, and operate secure, scalable AI-enabled research platforms. This role sits at the intersection of machine learning, cloud infrastructure, and regulated research environments, supporting national and international research programs. You will work closely with research IT leadership, data engineers, security teams, and external partners to operationalize AI workflows while maintaining strong governance, security, and compliance standards. This is a hands-on engineering role for someone who enjoys building real systems, not prototypes that live on slides. This position will report to the Sr. Supervisor, IT.

Essential Functions:

Design and deliver end-to-end hybrid data and AI solutions
Collaborate with data scientists, engineers, and business stakeholders to design, build, test, deploy, and support scalable data pipelines and AI/ML models across hybrid cloud and on-premises environments. Deliver reliable, production-ready solutions aligned with organizational strategy and enterprise architecture standards.
Operationalize machine learning systems using modern MLOps practices
Partner with cross-functional teams to deploy, monitor, and manage ML models through CI/CD pipelines, model versioning, experiment tracking, automated testing, and lifecycle management frameworks. Support both batch and real-time inference workloads while ensuring reliability, scalability, and maintainability.
Build and maintain secure, scalable infrastructure across hybrid environments
Implement containerized and cloud-native solutions using Docker and orchestration platforms (e.g., Kubernetes) to support data and AI workloads. Apply infrastructure-as-code (IaC) and automation practices to enable reproducibility, scalability, and operational efficiency across on-premises and cloud systems.
Ensure secure, compliant, and governed data and AI systems
Collaborate with security and compliance teams to implement role-based access controls, encryption, network security controls, and audit logging across environments. Align architectures with regulatory frameworks (e.g., HIPAA, NIST, FISMA) and enterprise governance standards while promoting responsible AI practices.
Translate business requirements into scalable technical architectures
Engage with stakeholders to understand strategic objectives and convert them into robust data architectures, algorithms, and automation workflows. Promote shared ownership of solutions, ensuring alignment with long-term sustainability, performance expectations, and enterprise standards.
Monitor, optimize, and sustain production systems
Implement monitoring, logging, and alerting frameworks to track data pipeline health, model performance, data drift, system reliability, and cost efficiency. Apply performance tuning, reliability engineering, and continuous improvement practices to maintain operational excellence.
Communicate technical designs and analytical insights clearly
Document system architectures, data flows, AI workflows, and operational procedures. Present complex technical concepts and model outcomes to both technical and non-technical stakeholders in a clear and actionable manner.
Advance engineering excellence and innovation
Stay current with emerging technologies in data engineering, cloud computing, and applied AI. Evaluate and adopt new tools and methodologies that improve automation, scalability, security, and organizational impact while adhering to best practices and architectural standards.

To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC

This position is not eligible for work visa sponsorship.

The University of Utah offers a comprehensive benefits package. You can learn more about the great benefits of working for the University of Utah at: benefits.utah.edu

The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

Responsibilities

Artificial Intelligence (AI) / Machine Learning (ML) Engineer
Research, design, develop, test, and support artificial intelligence (AI) and machine learning (ML) frameworks and models. Leverage AI/ML techniques to answer business questions, support business strategies, and deliver valuable quantitative insights to improve products. Develop sophisticated algorithms to automate processes and tasks. Collaborate with internal stakeholders to understand business and technical needs. Code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Remain up to speed on cutting edge research for AI technology and concepts.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III
Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.

Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

This is a Career-Level position in the General Professional track.

Expected Pay Range: $90,188 to $123,274

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV

Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.

Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.

This is an Advanced-Level position in the General Professional track.

Expected Pay Range: $99,587 to $135,601

Minimum Qualifications

EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III: Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV: Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.

Preferences

Experience with MLOps platforms or custom ML deployment pipelines
Familiarity with vector databases, embeddings, or RAG-based systems
Experience supporting clinical research, biomedical data, or sensitive datasets
Familiarity with compliance-driven environments (FISMA Moderate/High, HITRUST, etc.)
Experience working in academic or research institutions
Strong experience with Python and modern ML/AI tooling
Hands-on experience with AWS (or comparable cloud platforms)
Experience building and operating CI/CD pipelines
Proficiency with Docker and container-based workflows
Experience supporting data-intensive or research computing environments
Strong understanding of security best practices in regulated environments
Ability to work independently and communicate clearly with both technical and non-technical stakeholders

Applicants will be screened according to preferences.

Type

Benefited Staff

Special Instructions Summary

Additional Information

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.

Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

Posting Specific Questions

Required fields are indicated with an asterisk (*).

* What is your highest level of completed education?
- None
- High School Diploma or Equivalent
- Associate Degree
- Bachelor's Degree
- Master's Degree
- Doctorate Degree

* How many years of related work experience do you have?
- Less than 6 years
- 6 years or more, but less than 9 years
- 9 years or more, but less than 12 years
- 12 years or more, but less than 15 years
- 15 years or more

* Will you now or in the future require sponsorship for employment visa status (e.g., H-1B status)?
- Yes
- No

* Are you legally authorized to work in the United States?
- Yes
- No

Applicant Documents

Required Documents

Resume

Cover Letter

Optional Documents

Open Date

07/23/2026

Requisition Number

PRN45731B

Job Title

Artificial Intelligence (AI) / Machine Learning (ML) Engineers

Working Title

AI Engineer

Career Progression Track

P00

Track Level

P4 - Advanced, P3 - Career

FLSA Code

Computer Employee

Patient Sensitive Job Code?

Standard Hours per Week

Full Time or Part Time?

Full Time

Shift

Day

Work Schedule Summary

Work Schedule

Full-time, 40 hours per week. Monday through Friday from 8:00 am to 5:00 pm.

Work Location & Residency

This position offers a flexible, mostly remote work schedule for candidates who reside along the Wasatch Front. While most duties can be performed remotely, the employee must be available to attend essential meetings and events on campus as needed.

Work Profile

Hybrid Work

A hybrid telework schedule is available for this position, dependent on operational needs and management approval. The arrangement will be established in partnership with the manager and is subject to ongoing departmental needs.

Travel:

This position may require occasional travel.

VP Area

U of U Health - Academics

Department

02228 - Data Coordinating Center

Location

Campus

City

Salt Lake City, UT

Type of Recruitment

External Posting

Pay Rate Range

$90,188 to $135,601

Close Date

10/23/2026

Priority Review Date (Note - Posting may close at any time)

Apply Now

Refine Your Search

general engineer jobs in salt lake city, ut

AI Engineer

HVAC/R Manager (Project Management and Estimating)

Industrial Refrigeration Service Technician

NPI Engineering Technician

Project Assessor - Seismic PTAN

Geotechnical Sales & Project Manager

Manufacturing Engineer I

Architect/Architectural Designer

Building Engineer

Construction Project Manager

Electrical BIM Modeler

Security Systems Designer

Piping Detailer (Must be Proficient with AutoCAD/SpoolCAD or Similar)

Electrical BIM Operator

Assistant Project Manager - Structural Steel

Manager General Manufacturing 2

Power Systems Engineer 2/3

Engineer Supplier Quality / Principal Engineer Supplier Quality

Principal/Sr. Principal Engineer Tooling Level 3/4

Electronic Assembler

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