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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the infrastructure for the next generation of intelligence. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our 2026 strategic roadmap. You will not be maintaining legacy systems; you will be architecting the backbone of future synthetic intelligence. Join us in defining the standards for AGI (Artificial General Intelligence) and Neuromorphic computing in a world that is rapidly evolving.


Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on high-impact projects that will define the technological landscape of the decade. Our team is dedicated to ethical AI development and pushing the boundaries of what is possible.

Responsibilities

  • Design and deploy scalable, next-generation AI models tailored for the 2026 technological landscape.
  • Lead Research & Development initiatives in Quantum Machine Learning and Hybrid Neural Architectures.
  • Collaborate with product and engineering teams to define the product vision for future tech.
  • Optimize deep learning pipelines for edge computing and quantum processors.
  • Mentor junior engineers and establish best practices for AI safety, interpretability, and ethics.
  • Stay ahead of emerging trends to ensure our infrastructure remains future-proof.

Qualifications

  • Master’s or PhD in Computer Science, AI, or a related field.
  • Minimum of 5+ years of experience in designing large-scale machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and CUDA.
  • Familiarity with quantum computing frameworks (Qiskit, Cirq) is a major plus.
  • Strong understanding of natural language processing and generative adversarial networks.
  • A forward-thinking mindset with a passion for solving complex problems.

Required Skills

Python TensorFlow PyTorch Quantum Computing NLP Machine Learning R&D AI Architecture Deep Learning

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