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.

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Rheumatologist – Optum NY

Company: Optum

Location: Lake Success, New York

Posted Mar 17, 2025

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Pathologist with subspeciality training in Breast or Gynecologic Pathology

Company: Northwell Health Physician Partners

Location: MT. KISCO & SLEEPY HOLLOW, NEW YORK

Posted Mar 17, 2025

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Urologist - Surgeon/Scientist (R-17647)

Company: Roswell Park Comprehensive Cancer Center

Location: Buffalo, New York

Posted Mar 17, 2025

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Headache Neurologist

Company: Saint Luke's Health System

Location: Kansas City, Missouri

Posted Mar 17, 2025

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Concierge Physician - Internal Medicine (Gastroenterology exp preferred)

Company: Castle Connolly Private Health Partners, LLC

Location: New York, New York

Posted Mar 16, 2025

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Sr Data Activation Manager, Consumer Data Activation

Company: Beam Inc.

Location: New York, NY

Posted Mar 18, 2025

Proficiency in data analysis tools and programming languages such as Python, R is a plus. Bachelor's degree in Data Science, Statistics, Economics, Business…

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RN -- MedSurg

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Mar 17, 2025

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Principal Associate, Ontology and Data Modeling- Retail Bank

Company: Capital One

Location: New York, NY

Posted Mar 17, 2025

At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology,…

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Ultrasound Intern, PRN - OKC

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Mar 17, 2025

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Local Contract Mammography Technologist - $38-50 per hour

Company: WCS Healthcare Partners

Location: Monroe, New York

Posted Mar 16, 2025

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Travel Surgical Technician - $2,090 per week

Company: ProKatchers

Location: Oklahoma City, Oklahoma

Posted Mar 16, 2025

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Chief of Staff - Executive Project Manager - Mobility

Company: MetTel

Location: New York, NY

Posted Mar 17, 2025

Partner with the VP of Mobility to develop and implement business strategies. Bachelor's degree in Business, Telecommunications, or a related field (MBA…

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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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