477 Ai Infrastructure Engineer jobs in Chicago,IL

KPMG

Chicago, IL 60629

Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field
Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
Proficiency in Python or another programming language commonly used in AI/ML
Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and APIs
Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Rise

Chicago, IL 60695

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture
Minimum of 5+ years designing large-scale cloud-based data platforms
Demonstrated experience leading architectural strategy across multiple teams or business units
Location: Chicago or Sussex (4 days in office) [Note: explicit location requirement from the job description]

Empower Careers

Chicago, IL 60629

Empower

Chicago, IL 60695

Exelon

Villa Park, IL 60181

GeoStabilization International

Chicago, IL 60629

Bachelor's degree in Civil Engineering, Geology, or related field.
1+ years in technical sales, business development, or client-facing engineering roles (geotechnical or heavy civil preferred).
Strong foundation in geotechnical design principles and constructability.
Ability to operate effectively in fast-paced, deadline-driven environments.