Ai-Enhanced Technology Jobs in New York City, NY

759,351 open positions · Updated daily

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.

Product Owner - Fintech - NYC - Salary up to 180K + Benefits

Company: Adaptive Financial Consulting

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Sr. Lead Software Engineer

Company: Broadridge

Location: Kansas City, MO

Posted Feb 03, 2025

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Retail Sales Associate - SOHO

Company: Gap Inc.

Location: New York, NY

Posted Feb 03, 2025

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Shift Supervisor Trainee

Company: CVS Health

Location: League City, TX

Posted Feb 03, 2025

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(USA) Member Team Lead

Company: Walmart

Location: Traverse City, MI

Posted Feb 03, 2025

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Store Associate

Company: CVS Health

Location: Westchester, NY

Posted Feb 03, 2025

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deeptech company developing machine learning applications radically improve concepts and designs transform engineering processes and drive operational product performance

FEA Engineer

Company: PhysicsX

Location: New York City, NY

Posted Feb 03, 2025

PhysicsX is a deeptech company specializing in machine learning applications for physics simulations. They aim to revolutionize design and engineering processes across various industries, including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Their work positively impacts society by improving artificial heart designs, reducing CO2 emissions, and enhancing wind turbine performance. They are currently hiring a Simulation Engineer with expertise in Finite Element Analysis (FEA) and optimization methods. The role involves working with data scientists, machine learning engineers, and clients to develop solutions for complex engineering challenges. The company values diversity and offers a competitive compensation package, a flat hierarchy, and a supportive work environment.

View Details Apply on BuiltIn

Cyber Systems Operations

Company:

Location: Fredonia, NY

Posted Feb 03, 2025

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Pharmacy Technician

Company: CVS Health

Location: Peachtree City, GA

Posted Feb 03, 2025

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Liquidity and Account Solutions-Payments-Client and Transaction Manager-Vice President

Company: JPMorgan Chase

Location: Jersey City, NJ

Posted Feb 03, 2025

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Courageous Studios Creative Intern: NYC - Summer 2025

Company: Warner Bros. Discovery

Location: New York, NY

Posted Feb 03, 2025

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Senior Business Manager - Digital Product Strategy

Company: Capital One

Location: New York, NY

Posted Feb 03, 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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