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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Future Systems

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are building the infrastructure for the year 2026 and beyond. Nexus Horizon Technologies is seeking a visionary Lead AI Architect to design scalable, intelligent systems that bridge the gap between current capabilities and the next generation of Artificial General Intelligence (AGI).

In this high-impact role, you will not just write code; you will define the architectural standards for our neural interfaces, autonomous agents, and quantum-ready cloud ecosystems. You will work alongside world-class researchers and engineers to solve problems that don't yet have solutions. If you are passionate about the future of technology and want to leave a legacy in the tech stack of tomorrow, we want to hear from you.

Why Join Us?

  • Work on Next-Gen AI initiatives that define the 2026 roadmap.
  • Competitive equity package and benefits.
  • Flexible remote-first culture.

Responsibilities

  • Design and implement the core architecture for Autonomous AI Agents and Neural Networks capable of zero-shot learning and advanced reasoning.
  • Lead the technical strategy for integrating Quantum Computing protocols into classical cloud environments.
  • Establish best practices for Web5 and decentralized identity protocols within our ecosystem.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Conduct research on emerging technologies to predict and mitigate potential system bottlenecks.
  • Collaborate with product teams to translate futuristic concepts into actionable, scalable software solutions.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML or high-performance computing.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Strong understanding of Large Language Models (LLMs) and their deployment strategies.
  • Experience with Edge Computing and low-latency neural network inference.
  • Demonstrated ability to think strategically about long-term technological trends (e.g., AGI, Synthetic Biology integration).

Required Skills

Python Machine Learning Deep Learning System Architecture Distributed Systems Quantum Computing AI/ML Engineering Cloud Infrastructure

Ready to Take This Challenge?

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