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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect (2026 Roadmap)

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

Job Description

We are on the precipice of a technological singularity, and Nexus Horizon is leading the charge. We are seeking a visionary Future Tech Architect to define the technical infrastructure for the year 2026 and beyond. In this pivotal role, you will bridge the gap between current capabilities and tomorrow's breakthroughs, specifically focusing on the convergence of Generative AI, Quantum Readiness, and Autonomous Systems.

As a key member of our elite R&D division, you won't just be maintaining systems; you will be architecting the future of digital interaction. We are looking for a thought leader who thrives on ambiguity and possesses the technical prowess to turn science fiction into reality.

Responsibilities

  • Define and execute the technical roadmap for 'The 2026 Initiative,' ensuring alignment with our long-term strategic vision.
  • Lead high-impact R&D projects in Generative AI, Large Language Models (LLMs), and Edge Computing architectures.
  • Collaborate with cross-functional teams to integrate futuristic technologies into core product ecosystems.
  • Establish security and scalability standards for decentralized and quantum-resistant data systems.
  • Present complex technical concepts to executive stakeholders and non-technical audiences with clarity.
  • Mentor junior architects and engineers to foster a culture of innovation.

Qualifications

  • 10+ years of experience in Systems Architecture, Software Engineering, or Artificial Intelligence.
  • Deep understanding of Machine Learning, Deep Learning, and Neural Network architectures.
  • Experience with quantum computing concepts or hybrid classical-quantum system design is a strong plus.
  • Proven track record of leading technical teams in high-growth, fast-paced environments.
  • Strong proficiency in Python, Rust, or Go.
  • Master’s degree in Computer Science, Engineering, or a related technical field is preferred.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Quantum Computing Generative AI Strategic Planning Cloud Infrastructure

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