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Senior AI Architect (2026 Vision)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are building the operating system for the future. Apex Horizon Technologies is seeking a visionary Senior AI Architect (2026 Vision) to lead our research into Artificial General Intelligence (AGI) and next-generation Large Language Models (LLMs). If you are passionate about defining the technological landscape of 2026 and beyond, we want to hear from you.

In this role, you will not just implement existing models; you will architect the foundational infrastructure that powers the next decade of human-machine interaction. You will work in a high-performance environment focused on scalability, ethical AI, and breakthrough performance.

Why join us?

  • Work on projects that redefine the boundaries of machine intelligence.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design and deploy scalable neural network architectures for 2026-ready applications.
  • Lead research initiatives in emergent AGI capabilities and reasoning models.
  • Optimize deep learning models for high-throughput inference on cloud and edge environments.
  • Establish best practices for data governance, model interpretability, and ethical AI deployment.
  • Collaborate with product teams to translate theoretical AI advancements into tangible products.
  • Mentor junior engineers and researchers in advanced machine learning techniques.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Deep Learning, NLP, or Reinforcement Learning.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).
  • Experience with MLOps pipelines and model versioning (MLflow, Kubeflow).

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps Distributed Systems Cloud Architecture AGI Machine Learning Deep Learning

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