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.

Personal Trainer, Scarsdale

Company: Equinox

Location: Scarsdale, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Associate Personal Banker - NC Coast North

Company: Wells Fargo

Location: Elizabeth City, NC

Posted Jan 24, 2025

View Details Apply on The Muse
Senior Business Analyst Wealth Management high-performance team delivering software solutions

Senior Business Analyst (Wealth Management), New York

Company: ION Group

Location: New York City, NY

Posted Jan 24, 2025

Lab49 is seeking a Senior Business Analyst for Wealth Management. The role involves conducting business analysis, documenting requirements, and collaborating with various teams. Key responsibilities include analyzing business processes, defining target state processes, and driving information gathering activities. The ideal candidate should have 3-5 years of experience in Business Analysis within Wealth Management or Financial Services, with a strong background in analytics. They should possess excellent attention to detail, problem-solving skills, and the ability to work in a fast-paced environment. The base salary range is $130,000 - $165,000, with potential for a discretionary bonus. Lab49 offers a hybrid work model, promoting a collaborative culture and innovation.

View Details Apply on BuiltIn

Shift Supervisor Trainee

Company: CVS Health

Location: New Brunswick, NJ

Posted Jan 24, 2025

View Details Apply on The Muse

Full Time Branch Ambassador- Crown Heights

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Enterprise Systems Engineer

Company: Apple

Location: New York, NY

Posted Jan 24, 2025

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Associate Patient Care Coordinator - Taylorsville, UT

Company: UnitedHealth Group

Location: West Valley City, UT

Posted Jan 24, 2025

View Details Apply on The Muse

Beauty Sales Consultant

Company: CVS Health

Location: Deer Park, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Senior Analytic Consultant

Company: CVS Health

Location: Oklahoma City, OK

Posted Jan 24, 2025

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DashMart Team Member - Lower Manhattan

Company: DoorDash

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Director, Partnerships and Commercialization, Liberty St, New York, NY

Company: Santander US

Location: New York, NY

Posted Jan 24, 2025

View Details Apply on The Muse

Programmatic Specialist

Company: Warner Bros. Discovery

Location: Mexico City, Mexico

Posted Jan 24, 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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