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.

Operations - Intern

Company: iCapital

Location: New York, NY

Posted Jan 24, 2025

Senior Backend Engineer - DevOps Focus

Company: Mediaocean

Location: New York City, NY

Posted Jan 24, 2025

Mediaocean is a leading company in the advertising ecosystem, powering impactful omnichannel marketing experiences with AI and automation. They are seeking a Senior Backend Software Engineer with extensive experience in Python, AWS, and containerization technologies. The role involves architecting and developing scalable backend systems, managing cloud infrastructure, problem-solving, mentoring junior engineers, and ensuring high code quality and performance. Mediaocean offers a competitive salary, comprehensive benefits, and a wellness-focused environment.

Territory Account Executive MM

Company: Salesforce

Location: Mexico City, Mexico

Posted Jan 24, 2025

District Support Pharmacist

Company: CVS Health

Location: League City, TX

Posted Jan 24, 2025

Telecom Practice Lead

Company: Wipro

Location: New Brunswick, NJ

Posted Jan 24, 2025

Business Development Lead, Banking Platforms

Company: Pinwheel

Location: New York City, NY

Posted Jan 24, 2025

Pinwheel is a company that provides frictionless account activation solutions for banks, enabling them to win primacy. They offer instant authentication without credentials, best-in-class conversion, greater security, better insights, and a seamless user experience. Pinwheel's platform is enterprise-grade secure, connecting to over 1800 platforms covering up to 100% of US workers paid via direct deposit and over 15 million employers. They have partnerships with leading fintechs and financial institutions. Pinwheel is seeking a business development professional with 5+ years of experience in high-growth startups, a history of closing complex deals, and expertise in fintech partnerships. The role involves negotiating deals, developing a partner ecosystem strategy, establishing success metrics, building relationships, and advising partners on the value of a Pinwheel partnership. Pinwheel offers competitive compensation, benefits, and a mission to build fairer financial systems.

Growth Marketing Manager, B2B, AI

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Sr Analyst, FP&A- OPEX

Company: Warner Bros. Discovery

Location: Mexico City, Mexico

Posted Jan 24, 2025

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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