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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are standing on the threshold of the 2026 technological revolution. Nexus Future Labs is seeking a visionary Future Tech Architect to lead our Research & Development division. You will define the architectural frameworks that will power the next generation of decentralized, AI-driven applications and quantum-ready systems.

In this role, you won't just maintain existing systems; you will build the future. We are looking for a strategic thinker who understands the convergence of Generative AI, Quantum Readiness, and Web3 protocols to drive our vision forward.

Responsibilities

  • Architect scalable, secure systems designed specifically for the 2026 computing landscape and post-silicon era.
  • Lead a cross-functional team in developing cutting-edge AI integrations and decentralized finance (DeFi) protocols.
  • Define long-term technical roadmaps and strategic technology adoption plans aligned with 2026 goals.
  • Conduct feasibility studies and proof-of-concepts for emerging technologies (e.g., Neuromorphic computing, Edge AI).
  • Mentor senior engineers and foster a culture of radical innovation and technical excellence.
  • Evaluate and integrate third-party APIs and legacy systems to support modernization efforts.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • 10+ years of experience in full-stack software architecture, with at least 3 years in a leadership role.
  • Deep expertise in Machine Learning, Natural Language Processing (NLP), and distributed ledger technologies.
  • Proven track record of leading high-impact technical projects from concept to production deployment.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Familiarity with cloud infrastructure (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

AI Machine Learning Blockchain System Architecture Python Rust Cloud Computing Kubernetes Quantum Readiness NLP

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