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.

Product Manager (CX)

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a global healthcare and technology company seeking a Product Manager with 35 years of SaaS experience, preferably in healthcare. The role involves working with the Consumer Experience team to develop and grow product solutions for the healthcare consumer market. The successful candidate will facilitate product growth, understand market and client experiences, and drive product launches. They will work closely with various teams, including executives, clients, design, engineering, marketing, and sales. The company offers a competitive salary, flexible work environment, and various benefits. The expected base salary ranges from $101,000 to $120,000.

Branch Office Administrator

Company: Edward Jones

Location: Park Ridge, IL

Posted Feb 03, 2025

ISV Partner Account Manager, MM

Company: Klaviyo

Location: Chicago, IL

Posted Feb 02, 2025

Klaviyo, a company that values diverse backgrounds and experiences, is seeking an ISV Partner Account Manager. This role involves driving revenue growth through strategic partnerships, executing high-impact go-to-market strategies, and collaborating with sales and marketing teams. The manager will also build and maintain strong relationships with partners, work on joint demand generation campaigns, and monitor sales performance. The ideal candidate should have a sales orientation, strong negotiation skills, deep market and product knowledge, and be data-driven. Klaviyo offers competitive benefits and a culture of learning.

Microsoft 365 System Administrator

Company:

Location: Deerfield, IL

Posted Feb 03, 2025

Store Manager in Training

Company: CVS Health

Location: Champaign, IL

Posted Feb 03, 2025

Software Developer - Web

Company:

Location: Gurnee, IL

Posted Feb 03, 2025

Database Administrator

Company:

Location: Gurnee, IL

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Ottawa, IL

Posted Feb 03, 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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