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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & 2026 Tech Lead | New York, NY

Nexus Horizon
New York
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the technological landscape of tomorrow? Nexus Horizon is seeking a visionary Senior AI & 2026 Tech Lead to spearhead our next-generation research initiatives.

We are not just building software; we are architecting the future. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence and scalable infrastructure, ensuring our solutions are ready for the demands of the 2026 era. You will lead a high-performing team of engineers and data scientists, driving innovation in machine learning, quantum computing interfaces, and predictive analytics.

Why Nexus Horizon? We offer a competitive compensation package, equity opportunities, and a culture that prioritizes autonomy, impact, and continuous learning.

Responsibilities

  • Architect and lead the development of advanced AI systems designed for the 2026 technological landscape.
  • Define the technical roadmap for machine learning infrastructure and ensure scalability and security.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor and guide senior engineers and data scientists, fostering a culture of technical excellence.
  • Conduct rigorous research to evaluate emerging technologies and validate their application within our framework.
  • Drive the implementation of ethical AI practices and data governance standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering with a focus on machine learning and AI.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Proven track record of leading technical teams and delivering complex architectural solutions.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of data privacy laws and ethical AI frameworks.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Computing System Architecture Leadership Data Science Kubernetes

Ready to Take This Challenge?

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