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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of technology?

OmniFuture Systems is pioneering the infrastructure required for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our research division in developing the next generation of autonomous systems and neural networks. If you thrive on solving complex problems and building scalable solutions for the future, this is your opportunity to make a lasting impact.

Why Join Us?

  • Work at the forefront of Artificial General Intelligence (AGI) research.
  • Competitive compensation package and equity options.
  • Flexible remote and hybrid work models.
  • Access to state-of-the-art computing infrastructure.

Responsibilities

  • Architect Systems: Design and deploy scalable neural network architectures capable of processing petabytes of data in real-time.
  • Research Leadership: Lead a team of data scientists and engineers to pioneer breakthroughs in natural language processing and computer vision.
  • Optimization: Optimize deep learning models for deployment on edge devices and cloud environments to ensure low-latency performance.
  • Strategic Planning: Define technical roadmaps and ensure alignment with the company's long-term vision for 2026 and beyond.
  • Collaboration: Partner with cross-functional teams, including product management and security, to integrate AI solutions into core products.
  • Compliance: Ensure all AI systems adhere to ethical guidelines and data privacy regulations (GDPR/CCPA).

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: Minimum 5+ years of experience in designing large-scale machine learning systems.
  • Technical Skills: Proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
  • Knowledge: Deep understanding of Transformer models, Reinforcement Learning, and Neural Architecture Search (NAS).
  • Problem Solving: Strong ability to troubleshoot complex algorithmic issues and improve model accuracy.
  • Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Neural Networks AI Architecture Cloud Computing System Design

Ready to Take This Challenge?

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