601 Software Engineer Ai Automation jobs in Chicago,IL

Bachelor's degree in Civil, preferred, or Mechanical Engineering with twelve plus (12+) years of relevant experience in the design of high voltage electric utility transmission systems.
Professional Engineering Registration in at least one U.S. state or equivalent.
Experience with the following: PLS-CADD, POLE, TOWER, SAG10, LPILE and/or FAD, and Microsoft Office suite.
The candidate will apply NESC, ASCE, ACI, NEC, and other applicable standards in the engineering anddesign of all types of capital and maintenance projects from 34.5 kV to 765 kV.
Work effectively in a team environment; can also work independently.

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]

Ulta Beauty

Bolingbrook, IL 60440

B.S. in Computer Science or Computer Information Systems
8+ years experience in product development or related technical field
2+ years leading or managing technical teams, ideally within retail media, ad tech, or data platform environments
Experience with relevant tech stack including backend services built in Java, cloud‑native platforms on Google Cloud Platform (GCP), large‑scale analytics and reporting leveraging BigQuery, and integrations with third‑party ad tech and data platforms
Experience driving technical and analytical teams
Experience integrating platforms such as The Trade Desk, LiveRamp, Criteo, Citrus Ads and Google Ad Manager into RMN technology ecosystems
Experience implementing server-side tracking (CAPI) and identity frameworks (e.g., UID2)
Exposure to clean rooms and privacy-enhancing technologies
Experience building or integrating attribution models (MTA, MMM, incrementality)
Proven experience with agile (continuous delivery) and iterative methodologies
Solid experience with hybrid & cloud environments
Proven experience in eliciting requirements and enterprise automation
Solid experience writing product development requirements and architecture
Demonstrated experience in generating process modeling