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Senior AI Architect (Future Tech)

Nexus Horizon
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Horizon as a visionary Senior AI Architect and help shape the technological landscape of the future. We are at the forefront of next-generation artificial intelligence, dedicated to building systems that are not only powerful but also ethical and scalable.

In this role, you will define the architectural strategy for our proprietary AI models, leading a team of elite engineers and researchers. If you are passionate about the intersection of deep learning, generative AI, and scalable infrastructure, this is your opportunity to lead the charge towards a smarter 2026.

Why join us?

  • Work on cutting-edge projects that define the future of technology.
  • Competitive compensation package and equity options.
  • Unlimited PTO and a hybrid work environment in the heart of Manhattan.

Responsibilities

  • Design and implement scalable deep learning architectures for production environments.
  • Lead the research and development of Large Language Models (LLMs) and generative AI solutions.
  • Optimize existing models for inference speed and memory efficiency.
  • Establish best practices for MLOps, CI/CD pipelines, and model monitoring.
  • Mentor and coach data scientists and machine learning engineers on advanced techniques.
  • Collaborate with product teams to translate technical requirements into robust AI features.
  • Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of professional experience in AI engineering or machine learning research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills with a focus on algorithmic efficiency.
  • Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Docker Kubernetes MLOps AI Architecture

Ready to Take This Challenge?

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