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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CRNA Job Opportunity – $280K+ Annual | Up to $100K Bonus | No Trauma/Transplant | Flexible Scheduling | Magnet-Recognized | Minutes from Manhattan

Company: White Plains Hospital

Location: White Plains, Westchester, New York

Posted Jun 29, 2025

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Maternal Fetal Medicine Opportunity - Schenectady, NY

Company: Trinity Health

Location: Schenectady, New York

Posted Jun 29, 2025

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dental insurance health insurance paid time off

Occupational Therapist (OT) - Full Time - SIGN ON

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Jun 29, 2025

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Technical Business Analyst (Leveraged Finance)

Company: Santander Holdings USA Inc

Location: New York, NY

Posted Jun 28, 2025

Executes technical plans, system analysis, detailed design specifications, development, unit and component testing. Basic knowledge in development tools.

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Established Practice just outside of New York City!

Company: RosmanSearch

Location: Clifton, New Jersey

Posted Jun 29, 2025

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sign-on bonus relocation assistance full time

Urogynecologist

Company: Concord Hospital

Location: Concord, New Hampshire

Posted Jun 29, 2025

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Physical Therapist (Non-Exempt)

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Jun 29, 2025

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full time be or bc 401(k)

Mohs Surgeon

Company: U.S. Dermatology Partners

Location: Kansas City, Missouri

Posted Jun 29, 2025

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Neuroradiologist

Company: Northwell Health Physician Partners

Location: New York

Posted Jun 29, 2025

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full time be or bc

Make every day exceptional as an Obstetrician Gynecologist (OBGYN).

Company: White Plains Hospital

Location: Westchester County, NY

Posted Jun 29, 2025

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tuition reimbursement clinic full time

Physical Therapist (Exempt)

Company: Mercy

Location: Oklahoma City, Oklahoma

Posted Jun 29, 2025

View Details Apply on healthecareers.com

Salesforce - Commerce Cloud B2B Functional - Senior Consultant

Company: Deloitte

Location: New York, NY

Posted Jun 28, 2025

You'll help clients define their eCommerce requirements by leading and facilitating workingsessions to gain an understanding of the client's current state…

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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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