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.

AWS Senior Lead Product Manager (RapidScale)

Company: Cox Communications

Location: New York, NY

Posted Jul 22, 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…

Associate Accountant (Back Office), P2

Company: United Nations

Location: New York, NY

Posted Jul 22, 2025

Advanced university degree (Master's degree or equivalent) in business administration, finance, accounting or related field.

AI Solutions Lead

Company: ASAP Talent Services

Location: Redwood City, CA

Posted Jul 21, 2025

Partner with engineering and product teams to integrate AI features into existing SaaS products or develop standalone services. Full-time Home Office w/Travel.

Associate Manager, Customer Success

Company: DoorDash USA

Location: New York, NY

Posted Jul 21, 2025

Track accounts through engagement data (via tools like Looker and Totango) to identify churn risk and work proactively to eliminate that risk.

Python Developer

Company: Macquarie Group Limited

Location: New York, NY

Posted Jul 21, 2025

You will also experiment with technologies that can solve complex business problems, provide maintenance to the existing codebase and contribute to the ongoing…

Wood Shop Specialist

Company: School of Visual Arts

Location: New York, NY

Posted Jul 22, 2025

Exposure to large equipment and fabrication tools (standard hand/power/woodshop tools), requiring adherence to safety protocols.

Project Manager Information Technology

Company: Hospital for Special Surgery

Location: New York, NY

Posted Jul 21, 2025

A bachelor’s degree at a 4-year institution; preferred majors in computer science, healthcare. Track all issues and risks with the appropriate tools.

Delivery Driver CDL B

Company: The Chefs' Warehouse

Location: Bronx, NY

Posted Jul 22, 2025

Have a valid driver’s license. Follow all company and state enforced safety requirements for loading and unloading product. Must Pass a DOT physical.

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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