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 Solutions Architect

Company: Point72

Location: New York, NY

Posted Jul 14, 2025

Bachelor’s degree in computer science, information technology, or a related field. Lead the evaluation and selection of AWS services and tools to enhance the…

Lyric HCM Client Service Consultant III

Company: ADP

Location: New York, NY

Posted Jul 15, 2025

Your time will be spent on technical activities, contributing to projects, and utilizing analysis to solve problems.

Manager, Client Solutions

Company: Comcast Corporation

Location: New York, NY

Posted Jul 14, 2025

Ensure team’s ability to provide excellent technical guidance for the lifecycle of dedicated products and technical vetting for proposed usage of new products,…

IT Governance Analyst

Company: Starr Companies

Location: New York, NY

Posted Jul 14, 2025

This role acts as a key bridge between technical teams (e.g., Systems, Network, Applications and Cloud Administrators) and Governance/Risk/Compliance (GRC)…

AWS Cloud Architect

Company: Point72

Location: New York, NY

Posted Jul 14, 2025

Bachelor’s degree in computer science, information technology, or a related field. Evaluate and recommend AWS services and tools to enhance the performance,…

Lead Software Engineer, Full Stack (Bank Tech)

Company: Capital One

Location: New York, NY

Posted Jul 15, 2025

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding…

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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