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Future-Ready AI Architect - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026? Nexus Horizon Technologies is seeking a visionary AI Architect to lead our next-generation generative AI initiatives. In this pivotal role, you will architect scalable machine learning systems that redefine user experiences and set the standard for the future of intelligent software. We are looking for a forward-thinking engineer who thrives in ambiguity and is passionate about building robust, ethical, and high-performance AI solutions.

As a key member of our R&D division, you will bridge the gap between theoretical research and production-grade engineering, ensuring our platforms remain at the cutting edge of the industry.

Responsibilities

  • Architect and deploy scalable AI/ML infrastructure optimized for the 2026 technology stack.
  • Lead the integration of advanced Large Language Models (LLMs) and Generative AI into core product ecosystems.
  • Design MLOps pipelines to ensure model reliability, versioning, and continuous delivery.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Evaluate emerging AI frameworks and recommend architectural improvements to leadership.
  • Collaborate with cross-functional teams to translate business requirements into technical AI strategies.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI engineering, Machine Learning, or Deep Learning.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.

Required Skills

Python PyTorch TensorFlow MLOps AWS Azure Kubernetes Generative AI LLMs NLP Machine Learning Deep Learning Cloud Computing

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