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.

Risk Operations Specialist

Company: Afterpay

Location: Chicago, IL

Posted Feb 03, 2025

Cash App, a dynamic financial ecosystem, is seeking an operations professional with compliance, credit, or fraud analysis experience to join their Merchant Onboarding team. The role involves reviewing new merchants, assessing risks, and ensuring a safe, compliant, and seamless onboarding experience. The ideal candidate should have 1+ years of relevant experience, strong communication skills, and a self-starter mentality. Cash App offers competitive pay, flexible time off, and modern family planning benefits, among others, to empower employees to do their best work.

Business Development Executive - East Coast, Capital Markets

Company: Chainlink Labs

Location: Chicago, IL

Posted Feb 03, 2025

Chainlink Labs, a leading developer of the decentralized computing platform Chainlink, is seeking an experienced Business Development Executive for the East Coast. The role involves identifying and closing high-impact use cases for Chainlink's solutions in major commercial banks and financial market infrastructures, particularly in the Front and Middle office. The ideal candidate should have 10+ years of experience in financial services, a proven track record in negotiating commercial agreements, and strong collaboration skills. Preferred qualifications include understanding of blockchain technology, DeFi, and the digital financial market infrastructure landscape.

Developmental Engineer

Company:

Location: Mount Vernon, IL

Posted Feb 03, 2025

B2B Sales Account Executive

Company:

Location: Arlington Heights, IL

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Macomb, IL

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Belleville, IL

Posted Feb 03, 2025

Verizon Sales Consultant

Company:

Location: Chicago, IL

Posted Feb 03, 2025

Experienced Site-Civil Engineer

Company: Leidos

Location: Chicago, IL

Posted Feb 03, 2025

Developmental Engineer

Company:

Location: Champaign, IL

Posted Feb 03, 2025

Design & UX Manager (Hybrid)

Company: Enova

Location: Chicago, 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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