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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Future Tech Architect (2026 Roadmap)

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

Job Description

We are pioneering the next generation of artificial intelligence infrastructure and are looking for a visionary Future Tech Architect to lead the architectural design of our 2026 flagship product suite.

This is a rare opportunity to define the technological landscape of the upcoming decade. You will be at the intersection of quantum computing, advanced neural networks, and next-gen user interfaces. If you are passionate about solving impossible problems and building the tools of tomorrow, we want to meet you.

Key Highlights:

  • Work on cutting-edge AGI and Quantum Hybrid systems.
  • Competitive equity package and top-tier benefits.
  • Remote-first culture with hubs in San Francisco and New York.

Role Overview:

As a Future Tech Architect, you will not just write code; you will define the paradigms of future computing. You will collaborate with our R&D division to prototype and validate technologies that will be industry standards by 2026.

Responsibilities

  • Architect Roadmaps: Define the technical strategy and roadmap for the 2026 product release cycle, focusing on scalability and future-proofing.
  • System Design: Design complex, distributed systems capable of handling petabyte-scale data and real-time quantum processing.
  • R&D Leadership: Lead a cross-functional team of engineers, data scientists, and designers to prototype next-gen AI models.
  • Technical Strategy: Evaluate emerging technologies (e.g., neuromorphic chips, edge AI) and integrate them into our core infrastructure.
  • Performance Optimization: Continuously optimize system latency, throughput, and energy efficiency for our global user base.
  • Compliance & Ethics: Ensure all architectural decisions adhere to the highest standards of data privacy and AI ethics.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field from a top-tier university.
  • Experience: 7+ years of experience in systems architecture, with at least 3 years in a lead or architect role within the tech industry.
  • Technical Skills: Deep expertise in Python, C++, Rust, and distributed systems frameworks (Kubernetes, Docker).
  • Future Tech: Demonstrated experience or keen interest in Quantum Computing, Large Language Models (LLMs), or Neural Architecture Search.
  • Problem Solving: Proven track record of solving complex, unstructured problems and innovating under tight deadlines.
  • Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders and executive leadership.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Python C++ Machine Learning Distributed Systems R&D Leadership

Ready to Take This Challenge?

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