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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect - 2026 AI & Quantum Integration

Nexus Horizons
San Francisco
Estimated Salary
USD 195.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the operating system for the next decade. Nexus Horizons is seeking a visionary Future Systems Architect to lead the development of our proprietary 2026 AI infrastructure. In this role, you will design the neural backbone of our next-generation ecosystem, ensuring seamless integration between quantum computing capabilities and consumer-grade interfaces. If you are driven by the possibilities of the future and want to define the standard for AI interaction in the year 2026, we want to hear from you.

Responsibilities

  • Design and implement scalable microservices architectures for autonomous AI agents operating in a 2026 quantum-cloud hybrid environment.
  • Oversee the architectural migration of legacy data centers to decentralized, quantum-resistant distributed ledgers.
  • Collaborate with machine learning engineers to optimize model inference latency and reduce energy consumption in edge computing nodes.
  • Establish and enforce security protocols for biometric data processing and neural interface communication.
  • Lead high-level architectural reviews for the development of our 'Sentient Interface' product line.
  • Define the technical roadmap for integrating Generative AI with real-time predictive analytics.
  • Qualifications

  • PhD or Master’s degree in Computer Science, Computational Linguistics, or Physics.
  • 10+ years of experience in Systems Architecture, with a focus on high-scale cloud environments and distributed systems.
  • Deep understanding of Generative AI models (LLMs, Diffusion Models) and their deployment patterns in production.
  • Proficiency in high-performance programming languages such as Rust or Go.
  • Proven track record of leading cross-functional engineering teams in a fast-paced, startup-like environment.
  • Experience with AI safety, alignment, and ethical framework implementation.
  • Required Skills

    AI Architecture Quantum Computing Distributed Systems Rust Go Machine Learning Cloud Infrastructure Neural Networks System Design Microservices

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