Jobs / Uni***
AI Engineer
Uni*** · Salt Lake City, UT, United States
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Salt Lake City, UT, United States90,188-135,601 USD/yearlyHybrid
Remuneration
90,188-135,601 USD/yearly
Location
Salt Lake City, UT, United States
Visa sponsorship
Sponsors visa
Job summary
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.
Benefits
Package.You can learn more about the greatOf working for the University of Utah at:Utah.eduThe department may choose to hire at any of the below job levels and associatedThe University is a participating employer with Utah Retirement Systems (“URS”).Individuals who previously retired and are receiving monthly retirementFrom URS are subject to URS’ post-retirement rules and restrictions.This position may require the successful completion of a criminal background cheVeterans’ preference is extended to qualified applicants, upon request and consiUpon request, reasonable accommodations in the application process will be proviThe requirement not to discriminate in education programs or activities extends
Qualifications
- The Utah Data Coordinating Center (DCC) is seeking an experienced AI Engineer to design, build, and operate secure, scalable AI-enabled research platforms.
- 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
Responsibilities
- 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.
- 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.
- 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.
Skills
Leadership
Degrees
AssociateBachelorDegreeDiplomaHighSchoolMasterPhD
Languages
Arabic
Travel
Occasional travelTravel
Industry
AutomotiveEducationHealthcarePublic-sector
Company size
Enterprise
Contract length
6 years