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.

DevOps Engineer

Company: Wipro

Location: Mexico City, Mexico

Posted Feb 03, 2025

View Details Apply on The Muse

Shift Supervisor Trainee

Company: CVS Health

Location: New Brunswick, NJ

Posted Feb 03, 2025

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Design Engineer, GenAI

Company: Meta

Location: New York, NY

Posted Feb 03, 2025

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Front - End Software Engineer - NCR

Company: UnitedHealth Group

Location: Bonifacio Global City, Philippines

Posted Feb 03, 2025

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4am Inbound (Stocking) (T1042)

Company: Target

Location: Ellicott City, MD

Posted Feb 03, 2025

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Enterprise Strategic Account Specialist, Healthcare

Company: Spectrum

Location: Troy, NY

Posted Feb 03, 2025

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Enterprise Service Delivery Manager (Managed IT Services)

Company: Konica Minolta Business Solutions

Location: New York, NY

Posted Feb 03, 2025

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Senior Staff Engineer - Event Platform Storage

Company: Datadog

Location: New York, NY

Posted Feb 03, 2025

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Quality Engineer II

Company: BD

Location: Salt Lake City, UT

Posted Feb 03, 2025

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Software Engineer II

Company:

Location: New York, NY

Posted Feb 03, 2025

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Assistant Manager, Merchandising - Lakeport Commons

Company: Gap Inc.

Location: Sioux City, IA

Posted Feb 03, 2025

View Details Apply on The Muse
nextgeneration management consulting firm unique blend of AI and design capabilities superior value to our clients

SiaXperience Senior Project Manager

Company: Sia Partners

Location: New York City, NY

Posted Feb 03, 2025

Sia Partners is a global management consulting firm with a unique blend of AI and design capabilities. They offer superior value to clients across 30+ sectors, with a focus on innovative CSR solutions. SiaXperience, their experience design agency, is a leader in creative and design consulting services. The company values excellence, entrepreneurship, innovation, teamwork, care, support, and employee wellbeing. The Senior Project Manager role involves leading marketing and advertising initiatives, managing complex projects, aligning client expectations, mentoring team members, making strategic decisions, and ensuring financial stewardship. Success is measured by planning precision, workflow mastery, client success, exceeding expectations, team synergy, and company prosperity. Qualifications include a minimum of 45 years of project management experience, a focus on digital marketing or interactive web experiences, and proficiency in project management tools and digital marketing analytics platforms.

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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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