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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon Initiative

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are building the technological foundation for the year 2026 and beyond. Nexus Horizon is seeking a visionary Lead AI Architect to spearhead our next-generation artificial intelligence research and development division. In this pivotal role, you will design scalable neural architectures and drive the implementation of AGI-prepared systems.

Our mission is to bridge the gap between current deep learning capabilities and the projected breakthroughs of the 2026 era. You will work with a world-class team of engineers, ethicists, and futurists to define the standards of synthetic intelligence.

Responsibilities

  • Design and deploy cutting-edge deep learning models tailored for the 2026 technological landscape.
  • Lead architectural decisions for large-scale neural networks and distributed computing systems.
  • Collaborate with cross-functional teams to integrate AI solutions into core product infrastructure.
  • Research and implement novel algorithms to solve complex, unstructured problems.
  • Mentor junior engineers and establish coding standards for high-performance AI teams.
  • Ensure ethical AI practices and data governance compliance in all model training.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 7+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership capacity.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Proven track record of deploying production-grade NLP or Computer Vision models.
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP), and data pipelines.
  • Demonstrated ability to think strategically about the long-term implications of AI evolution.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision MLOps AWS GCP Leadership

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