817 Ai First Software Engineer jobs in Chicago,IL

Bachelor's in Mechanical Engineering, from an accredited university.
Fundamental Engineer (F.E.) license or equivalent.
20 years of professional experience and specialize as a heat exchanger engineer.
Experienced in international standards related to heat exchangers such as TEMA, ASME, API, ALPEMA.
Experienced with the Heat exchangers fabrication and installation aspects.
Experienced in heat exchangers thermal software and design such as HTRI.
Experienced in heat exchangers mechanical software and design such as PVElite.
Work Location: Within Saudi Arabia – To be specified in Job offer

Morningstar

Chicago, IL 60629

UVEye

Chicago, IL 60608

4+ years of experience as a Field Engineer or Field Technician in hardware/software installation and deployment
Proven experience leading teams or contractors during technical installations
Strong hands-on skills across civil works, networking, electrical wiring, and mechanical assemblies
Working knowledge of Linux-based systems and basic networking principles
Demonstrated ability to write installation, service, and maintenance procedures
Previous experience using AutoCAD or Autodesk to generate and interpret site layouts
Excellent communication and interpersonal skills; able to lead discussions and provide direction clearly
Customer-first mindset and a high degree of resilience and adaptability under pressure
Strong safety mindset and ability to enforce compliance at every stage of the job
Willingness to travel up to 90% across the US
Valid driver's license

BMO Financial

Chicago, IL 60604

Data and AI Governance experience
Risk management experience.
CDMP and/or AIGP certifications.
Typically, 5 - 7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines, with a strong focus on advisory and oversight activities.
Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations.
Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle.
Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs).
Strong analytical and critical-thinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications.
Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first- and second-line functions.
Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns.
CDMP - Certified Data Management Professional (by DAMA)
CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)