Ai-Enhanced Technology Jobs in New York City, NY

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

Sr. Firmware QA Engineer - Kohler Ventures

Company: Kohler

Location: New York, NY

Posted Apr 14, 2025

You hold a bachelor’s degree in computer science, Engineering, or related field. Experience with test automation tools/frameworks for hardware/firmware…

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travel

Travel CT Technologist - $2,420 per week

Company: NuWest Travel Nursing

Location: Rochester, New York

Posted Apr 13, 2025

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relocation assistance full time travel

Travel Outpatient Mammography Technologist - $2,674 per week

Company: Jackson HealthPros

Location: East Brunswick, New Jersey

Posted Apr 14, 2025

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health system full time j1 visa

Headache Neurologist

Company: Saint Luke's Health System

Location: Kansas City, Missouri

Posted Apr 14, 2025

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relocation assistance skilled nursing facility full time

Travel Physical Therapist - $2,168 per week

Company: Jackson Therapy Partners

Location: MacDonnell Heights, New York

Posted Apr 14, 2025

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hospital

CT Technologist - $27-36 per hour

Company: Judit Inc.

Location: Panama City, Florida

Posted Apr 13, 2025

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hospital research travel

Travel CSICU RN - $2,303 per week

Company: PRIDE Health

Location: New York, New York

Posted Apr 13, 2025

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travel

Travel Nurse RN - ED - Emergency Department - $2,242 per week

Company: Bestica

Location: Glens Falls, New York

Posted Apr 14, 2025

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tuition reimbursement hospital prn

Physical Therapy Assistant (PTA) - Mercy Rehab OKC South - PRN

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Apr 13, 2025

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tuition reimbursement full time

Lab Support Tech - Full Time Weekend Nights

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Apr 14, 2025

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health system residency research

Registered Nurse (RN) - Manager, Pediatric Cardiac Stepdown - $30-46 per hour

Company: OU Health

Location: Oklahoma City, Oklahoma

Posted Apr 13, 2025

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loan assistance loan repayment program sign-on bonus

Special Procedures Tech, FT, Sign-On Bonus/Loan Assistance

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Apr 14, 2025

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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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