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.

Customer Care Navigator

Company: EmblemHealth

Location: Jackson Heights, NY

Posted Jun 30, 2025

Provide post sales customer service follow‐up with Sales colleagues, both onsite and in the field within the region, to follow up on member customer service and…

Customer Insights Manager II

Company: Ursus, Inc.

Location: New York, NY

Posted Jun 30, 2025

Own and execute end-to-end customer research studies across multiple business areas (e.g. Smart Light Bulbs, Prospective Smart Home Customers), including study…

Conceptual Designer

Company: 24 Seven Talent

Location: New York, NY

Posted Jun 30, 2025

Recruiting campaigns and social media visuals. Event branding and environmental graphics. Web graphics, custom icons, and digital assets.

Housekeeping Associate, Bergdorf Goodman

Company: Neiman Marcus

Location: New York, NY

Posted Jun 30, 2025

Paid Parental Leave, Paid Family Leave, and Adoption Support. Retirement Savings Plan (401K) and Life Insurance. NMG Associates Core Discount of 30%.

Lead Healthcare Solutions Architect (RapidScale)

Company: Cox Communications

Location: New York State

Posted Jun 30, 2025

The right candidate could also have a different combination, such as a master's degree and 6years' experience; a Ph.D. and 3 years' experience in a related…

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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