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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Are you ready to shape the future of human-machine interaction? Nexus Horizon AI is seeking a visionary Senior AI Architect to lead our 2026 Vision initiative. In this pivotal role, you will architect the next generation of Generative AI systems, focusing on scalability, ethical alignment, and autonomous decision-making capabilities. This is an opportunity to define the technical roadmap for the artificial general intelligence (AGI) era.


We are looking for a builder who is passionate about solving complex problems at the intersection of neuroscience, computer science, and ethics. If you want to leave a legacy in the tech world, join us in building the infrastructure of tomorrow.


Why Join Us?

  • Work on cutting-edge AGI research and development.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to influence global AI policy and standards.

Responsibilities

  • Design and implement scalable deep learning architectures for Large Language Models (LLMs) and autonomous agents.
  • Lead the technical strategy for the 2026 product roadmap, ensuring feasibility and innovation.
  • Establish rigorous ethical frameworks and safety protocols to mitigate AI risks.
  • Collaborate with cross-functional teams including researchers, engineers, and product managers.
  • Optimize model inference speeds and reduce computational costs for real-time applications.
  • Conduct code reviews and mentor junior architects and machine learning engineers.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 5+ years of experience in machine learning, NLP, or deep learning engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Rust.
  • Experience with distributed systems, cloud infrastructure (AWS/GCP), and Kubernetes.
  • Demonstrated ability to lead complex technical projects from concept to deployment.
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance.

Required Skills

Python Machine Learning Deep Learning System Design Rust NLP AGI Ethical AI Cloud Computing Kubernetes

Ready to Take This Challenge?

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