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Next-Gen AI Systems Architect (2026 Horizon Project) - San Francisco

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon Systems is pioneering the technological landscape for the 2026 era. We are seeking a visionary Next-Gen AI Systems Architect to lead our elite R&D division. You will be responsible for designing the neural backbone of our autonomous systems and integrating quantum-ready protocols into our cloud infrastructure. If you thrive on solving unsolved problems and building the future, this is your opportunity to define the standard for intelligent systems.

Why Join Us?

  • Work on cutting-edge autonomous agents.
  • Competitive compensation package.
  • Remote-first culture with a hub in San Francisco.

Responsibilities

  • Architect Neural Architectures: Design and implement scalable deep learning frameworks capable of processing petabytes of real-time data.
  • Quantum Integration: Oversee the seamless integration of classical AI models with emerging quantum computing protocols.
  • Autonomous Agent Development: Lead the engineering of self-healing, autonomous software agents for complex logistical systems.
  • System Optimization: Optimize neural feedback loops to ensure zero-latency decision-making in high-stakes environments.
  • Technical Leadership: Mentor a team of elite engineers and define technical roadmaps for the 2026 roadmap.
  • Innovation Labs: Research and prototype novel AI paradigms, including generative adversarial networks and predictive modeling.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
  • Experience: 7+ years of experience in full-stack AI development, with a specific focus on large language models (LLMs) and neural networks.
  • Technical Skills: Proficiency in Python, C++, and TensorFlow/PyTorch; hands-on experience with Kubernetes and Docker.
  • Quantum Awareness: Familiarity with quantum algorithms and their practical application in classical AI pipelines.
  • Problem Solving: Proven track record of solving complex, ambiguous engineering challenges.
  • Communication: Ability to translate complex technical concepts for executive stakeholders.

Required Skills

Python Machine Learning Neural Networks TensorFlow PyTorch Kubernetes Docker Quantum Computing AI Architecture Cloud Infrastructure System Design

Ready to Take This Challenge?

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