Innovative Technology Jobs in New York City, NY

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Looking for Innovative Technology jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Innovative 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…

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)…

Fine Dining Executive Sous Chef JN -072025-162949

Company: Goodwin Recruiting

Location: New York, NY

Posted Jul 14, 2025

Daily responsibilities include overseeing mise en place, assisting with menu development, expediting service, and ensuring kitchen cleanliness and prep accuracy…

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,…

Front Office Software Engineer - Commodities

Company: Macquarie Group Limited

Location: New York, NY

Posted Jul 14, 2025

As an engineer in the team, you'll leverage your technical expertise to analyze, design, develop, and deploy high-quality software systems that support our…

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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