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.

Principal Business Risk Specialist

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 2025

Shift Supervisor Trainee

Company: CVS Health

Location: Tinley Park, IL

Posted Jan 25, 2025

Account Manager, Mid Market

Company: Meta

Location: Chicago, IL

Posted Jan 25, 2025

Solutions Architect

Company: Supernova Technology

Location: Chicago, IL

Posted Jan 25, 2025

Supernova Technology, founded in 2014, offers a cloud-based, customizable software solution for securities-based lending. The Solutions Architect role involves gathering client needs, designing system architecture, and overseeing implementation. The company values innovation, collaboration, and continuous learning, with a robust benefits package including medical, dental, vision insurance, retirement savings, and more.

Consulting, Senior Consultant

Company: Deloitte

Location: Chicago, IL

Posted Jan 25, 2025

Branch Office Administrator

Company: Edward Jones

Location: Minooka, IL

Posted Jan 25, 2025

Lead Director; Actuarial - AFA

Company: CVS Health

Location: Chicago, IL

Posted Jan 25, 2025

Application Engineer (Full Stack)

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 2025

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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