Ai-Enhanced Technology Jobs in Chicago, IL

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Looking for Ai-Enhanced Technology jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the Chicago, IL area.

Senior Database Administrator

Company:

Location: Gurnee, IL

Posted Jan 25, 2025

Senior Technical Program Manager

Company: CVS Health

Location: Springfield, IL

Posted Jan 25, 2025

Software Development Team Lead - Java

Company:

Location: Lake Bluff, IL

Posted Jan 25, 2025

Cybersecurity Engineer (Network)

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 2025

Inclusive Design Manager

Company: CapTech

Location: Chicago, IL

Posted Jan 25, 2025

4am Inbound (Stocking) (T1176)

Company: Target

Location: Arlington Heights, IL

Posted Jan 25, 2025

Category Operations Manager

Company: Instawork

Location: Chicago, IL

Posted Jan 25, 2025

Instawork, a leading flexible work app, is seeking a Category Operations Manager to drive key account success, manage scalable in-market operations, and collaborate with cross-functional teams. The role involves frequent travel, customer-facing responsibilities, and a passion for problem-solving. The company offers competitive compensation, benefits, and a fast-paced, innovative work environment.

Shift Supervisor Trainee

Company: CVS Health

Location: Springfield, IL

Posted Jan 25, 2025

Principal Technical Specialist - Talent & Development

Company: Kraft Heinz

Location: Chicago, IL

Posted Jan 25, 2025

Kraft Heinz is offering a Principal Technical Specialist Talent & Development position with a focus on HR tech development, cross-functional collaboration, and continuous improvement. The role involves mentoring junior developers, writing and reviewing scalable codes, and ensuring HR technology systems comply with regulatory requirements. The company provides comprehensive benefits, including medical, dental, vision coverage, 401k matching, and a total rewards package. The ideal candidate should have experience with digital HR products, Agile development teams, software engineering, and DevOps processes.

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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