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.

Cloud Architect, Google Workspace (English)

Company: Google

Location: Mexico City, Mexico

Posted Feb 03, 2025

Beauty Sales Consultant

Company: CVS Health

Location: Long Island, NY

Posted Feb 03, 2025

AVL Technical Engineer

Company: Life.Church

Location: Oklahoma City, OK

Posted Feb 03, 2025

The AVL Technical Engineer at LifeChurch is responsible for providing continuous technical support to campus teams, resolving technical issues, and ensuring smooth operations of audio-visual and lighting systems. The role involves ticket support, equipment management, collaboration with teams and vendors, and training of technical volunteers. The job requires excellent communication skills, organization, problem-solving abilities, and a minimum of 3 years of related experience. LifeChurch offers comprehensive benefits, including parental leave, health insurance, retirement plans, and professional development opportunities. The company values diversity and expects all staff to uphold and represent its beliefs.

Lead Cook

Company: Sodexo

Location: Purchase, NY

Posted Feb 03, 2025

Store Associate

Company: CVS Health

Location: New Hope, PA

Posted Feb 03, 2025

Senior Data Analytics Developer

Company:

Location: New York, NY

Posted Feb 03, 2025

(USA) Personal Shopper Lead - Sam's

Company: Walmart

Location: Kansas City, MO

Posted Feb 03, 2025

Sr. iOS Engineer - Kohler Ventures

Company:

Location: New York, NY

Posted Feb 03, 2025

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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