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Lead Architect: 2026 Neural Network Initiative

OmniStream Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Lead Architect to spearhead the development of our proprietary 2026 Neural Network Initiative. This is a high-impact role requiring deep expertise in next-generation AI architectures and future-proof system design.

As a key member of our Future-Tech division, you will define the technical roadmap for autonomous systems that will shape the technological landscape of 2026 and beyond. You will work at the intersection of deep learning, quantum computing, and scalable cloud infrastructure.

Why join us?

  • Work on cutting-edge technology that defines the future.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with office hubs in SF and NYC.

Responsibilities

  • Architect and implement scalable neural network models for the 2026 Initiative.
  • Define technical standards and best practices for future AI systems.
  • Lead a high-performance team of senior AI engineers and researchers.
  • Collaborate with product managers to translate futuristic concepts into deployable solutions.
  • Optimize algorithms for high-performance computing environments and edge devices.
  • Ensure data integrity and security in all 2026 system deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
  • 10+ years of experience in AI/ML architecture, system design, and software engineering.
  • Expert proficiency in Python, C++, and major deep learning frameworks (TensorFlow, PyTorch).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure), and containerization (Docker/K8s).
  • Experience with quantum computing concepts or edge AI deployment is a strong plus.
  • Demonstrated ability to lead large-scale engineering projects and mentor junior talent.

Required Skills

Neural Networks System Architecture Python C++ TensorFlow PyTorch Machine Learning Cloud Computing Quantum Computing

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