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.

Quantitative User Experience Researcher, Associate

Company: JPMorganChase

Location: New York City, NY

Posted Jan 26, 2025

The job description outlines a role for an Experience Research Associate at JPMorgan Chase. The associate will play a crucial role in shaping user experience through insightful research and collaborative innovation. Key responsibilities include gathering insights on customer needs and preferences, analyzing data to inform design decisions, and collaborating with cross-functional teams. The ideal candidate should have 2+ years of experience in generative and evaluative user experience research, proficiency in data analysis and visualization using R or Python, and experience in designing and implementing effective surveys.

IT Site Manager

Company: Vita Coco

Location: New York City, NY

Posted Jan 26, 2025

The Vita Coco Company, a leading coconut water brand founded in 2004, is seeking an IT Site Manager in New York. The role involves enhancing employee experience, optimizing modern work practices, driving efficiency in MSP operations, and managing a help desk. The company is committed to ethical sustainability and was certified as a B Corporation in 2022. Qualifications include a degree in IT, at least 5 years of relevant experience, and strong understanding of employee experience, modern work practices, and MSP operations.

AI Engineer

Company: Slang.ai

Location: New York City, NY

Posted Jan 26, 2025

Slangai is a company revolutionizing the restaurant industry with its conversational AI solutions. They aim to provide seamless and efficient customer experiences. The Senior AI Engineer role involves leading the development of AI solutions, mentoring a team, and collaborating with cross-functional teams. Slangai values trust, learning, humility, and expertise in customer teams. The company envisions transforming voice channels into the preferred mode of communication by 2030.

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.

Related Pages