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.

Clinical Laboratory Technologist

Company: Labcorp

Location: Panama City, FL

Posted Jan 25, 2025

View Details Apply on The Muse

DAIRY/CLERK

Company: Kroger

Location: Cedar City, UT

Posted Jan 25, 2025

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Account Manager

Company: Waters

Location: Changshu City, China

Posted Jan 25, 2025

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Beauty Sales Consultant, Licensed

Company: CVS Health

Location: Manhattan, NY

Posted Jan 25, 2025

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Licensed Beauty Sales Consultant

Company: CVS Health

Location: Manhattan, NY

Posted Jan 25, 2025

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Director or Senior Director, FP&A

Company: Datadog

Location: New York, NY

Posted Jan 25, 2025

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Staff Pharmacist FT

Company: CVS Health

Location: Garden City, NY

Posted Jan 25, 2025

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Seasonal: 4am Inbound (Stocking) (T1268)

Company: Target

Location: Albany, NY

Posted Jan 25, 2025

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NextGeneration MFA stops attacks wearable biometric multifactor authentication customerfocused problem solver

Customer Support Analyst

Company: Token

Location: Rochester, NY

Posted Jan 25, 2025

TokenRansomware and Phishing attacks are the primary threats to organizations today. Token has developed NextGeneration MFA to combat these attacks, offering wearable biometric multifactor authentication. The company culture values activism, with employees given time to support causes and team activities. The Customer Support Analyst role involves providing high-quality technical support, troubleshooting issues, and collaborating with internal teams to resolve customer problems and improve product offerings. The ideal candidate is customer-focused, a problem solver, and possesses strong communication skills.

View Details Apply on BuiltIn

Business Technology Solutions Associate Consultant: Enterprise Data Governance Technology & Operations

Company: ZS

Location: New York, NY

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Lead Full Stack Engineer - Senior Lead Software Engineer

Company: JPMorgan Chase

Location: Jersey City, NJ

Posted Jan 25, 2025

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Senior Data Engineer II

Company: Compass

Location: Manhattan, NY

Posted Jan 25, 2025

View Details Apply on The Muse

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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