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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Next-Gen Neural Systems

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are 2026 Innovations, a pioneering force in the race toward Artificial General Intelligence. As we prepare to redefine the technological landscape in the year 2026, we are seeking a visionary Lead AI Architect to spearhead our core research and development initiatives.

In this role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade engineering. You will work at the intersection of neuromorphic computing and large-scale neural networks to build systems that are not just smart, but sentient-ready.

Why join us? We offer equity, remote flexibility, and the chance to build the future.

Responsibilities

  • Design and architect scalable, high-performance neural network architectures optimized for edge and cloud deployment.
  • Lead a team of elite data scientists and engineers in the research and implementation of next-generation Generative AI models.
  • Drive the integration of quantum-resistant algorithms into our existing infrastructure.
  • Collaborate with product leadership to define the roadmap for our 2026 flagship product suite.
  • Establish and enforce best practices for model deployment, monitoring, and explainability.
  • Publish high-impact research papers and contribute to open-source communities.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8+ years of experience in software engineering and machine learning research.
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and high-performance computing (CUDA, C++).
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Track record of leading cross-functional teams and delivering complex projects on time.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Machine Learning Deep Learning Python PyTorch NLP LLMs CUDA C++ System Architecture

Ready to Take This Challenge?

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