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Lead AI Architect - 2026 Vision

Neural Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the development of our proprietary 2026 AI ecosystem. At Neural Horizon Labs, we don't just predict the future; we engineer it. You will be responsible for designing the neural architecture that underpins our next-generation autonomous systems, ensuring scalability, security, and cognitive depth.


If you are a thought leader who thrives at the intersection of machine learning, quantum computing, and human-computer interaction, this is your opportunity to define the standard for artificial intelligence.

Responsibilities

  • Design and implement scalable deep learning frameworks tailored for 2026 autonomous intelligence requirements.
  • Lead the architectural strategy for integrating quantum algorithms into classical neural networks.
  • Mentor senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Conduct rigorous performance analysis and optimization of AI models for real-time processing.
  • Collaborate with product teams to translate complex technical requirements into robust engineering solutions.
  • Stay ahead of industry trends in Generative AI and Edge Computing to ensure our technology remains cutting-edge.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in AI/ML engineering with a focus on large language models and predictive analytics.
  • Expert proficiency in Python, C++, and Rust, with deep knowledge of TensorFlow, PyTorch, or JAX.
  • Proven track record of leading cross-functional teams in high-stakes software development environments.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and data privacy regulations.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python C++ Rust TensorFlow PyTorch Quantum Computing Distributed Systems Cloud Architecture Leadership

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