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2026 Horizon Architect (AI & Infrastructure)

Quantum Leap Dynamics
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Shape the Future. Build the Impossible.

At Quantum Leap Dynamics, we are not just building software; we are engineering the infrastructure for the 2026 era. We are seeking a visionary 2026 Horizon Architect to lead our cutting-edge Generative AI and Autonomous Systems division.


In this role, you will bridge the gap between current machine learning capabilities and the autonomous, self-improving systems of tomorrow. You will define the architectural standards for next-gen AI agents, ensuring scalability, security, and ethical alignment in a rapidly evolving landscape.


Why Join Us?

  • Work on high-impact projects that define the technology roadmap for 2026 and beyond.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with quarterly in-person innovation summits.

Core Mission: To engineer the world's first truly self-sustaining AI infrastructure ecosystem.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement robust, scalable architectures for large language models and autonomous agents.
  • R&D Leadership: Spearhead research initiatives exploring quantum-ready algorithms and edge computing integration.
  • System Optimization: Lead efforts in optimizing model inference speeds and reducing computational overhead for real-time applications.
  • Team Mentorship: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Compliance: Ensure all AI systems adhere to the strictest data privacy and ethical AI standards (e.g., EU AI Act, US NIST guidelines).

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field (PhD preferred for this niche).
  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML systems.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Language: Proficiency in designing multi-modal AI systems capable of processing text, vision, and audio data simultaneously.
  • Strategic Vision: Proven track record of defining long-term technical roadmaps and translating them into actionable development cycles.

Required Skills

Python PyTorch Kubernetes Distributed Systems Machine Learning Architecture Generative AI Quantum Computing Cloud Infrastructure

Ready to Take This Challenge?

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