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.

RippleX Partner Director

Company: Ripple

Location: New York, NY

Posted May 06, 2025

Lead execution across technical and GTM workstreams, anticipating risks and aligning cross-functional resources to ensure successful outcomes.

Security Instructor

Company: A & H Security Services, LLC

Location: Bronx, NY

Posted May 08, 2025

Knowledge of technical tools and processes used during instruction, i.e., PowerPoint, Printed Materials, and basic classroom technology.

Assistant Patient Care Manager (RN), Outpatient Digestive Health, Redwood City - Full Time, 10-hour Days (8am-6:30pm)

Company: Stanford Health Care

Location: Redwood City, CA

Posted May 10, 2025

Ability to develop programs and lead process improvement projects. Typically assigned responsibility for supervising patient care staff and operations for an…

Rheumatology Physician

Company: Optum

Location: Brewster, New York

Posted May 05, 2025

HVAC Lead Installer

Company: Electric Air

Location: Redwood City, CA

Posted May 08, 2025

You will work with our engineering teams to develop and validate streamlined installation processes reducing installation time and increasing quality.

Senior Accountant - Private Markets Implementations

Company: SS&C

Location: New York, NY

Posted May 09, 2025

Test and validate system configurations to ensure accurate output across modules (capital calls, distributions, NAVs, etc.). CPA, CFA or candidate is a plus.

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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