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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Visionary Program)

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are on the precipice of a technological singularity. Nexus Horizon is seeking a visionary Senior AI Architect to lead our 2026 Visionary Program. In this role, you won't just build applications; you will architect the cognitive frameworks that will define the next decade of human-machine interaction. If you are obsessed with the bleeding edge of Artificial General Intelligence (AGI) and Large Language Models (LLMs), this is your calling.

As a key architect, you will design scalable, ethical, and hyper-efficient neural networks that push the boundaries of what is currently thought possible. You will work in a highly collaborative environment with world-class engineers and futurists.

Responsibilities

  • Design and implement next-generation neural network architectures optimized for 2026 scalability and latency.
  • Lead the R&D strategy for integrating Quantum computing principles with classical machine learning models.
  • Mentor a team of top-tier ML engineers and data scientists, fostering a culture of innovation.
  • Ensure the ethical deployment of AI, establishing robust guardrails for Generative AI outputs.
  • Collaborate with product leaders to translate futuristic concepts into tangible, deployable software solutions.
  • Pioneer new algorithms in natural language understanding and computer vision.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Apache Spark, Ray).
  • Deep understanding of LLMs, Transformers, and fine-tuning methodologies.
  • Experience with edge computing and real-time inference optimization.
  • Strong background in software engineering best practices, including CI/CD and unit testing.
  • Ability to thrive in ambiguity and solve complex, unsolved problems.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Neural Networks AI Quantum Computing LLMs Distributed Systems

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