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Future Tech Architect (Horizon 2026)

Zai Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

At Zai Future Labs, we are not just predicting the future; we are building it. We are seeking a visionary Future Tech Architect to lead our Horizon 2026 initiative. In this pivotal role, you will design the foundational systems for the next generation of digital intelligence and human-machine symbiosis. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and implement scalable, future-proof architectural frameworks for AI and Quantum computing integration.
  • Lead the architectural vision for the '2026 Horizon' product suite, ensuring alignment with long-term strategic goals.
  • Oversee the migration of legacy systems to next-gen decentralized networks and edge computing environments.
  • Collaborate with data scientists and AI researchers to translate theoretical models into production-ready infrastructure.
  • Establish best practices for ethical AI governance, data privacy, and cybersecurity in future tech ecosystems.
  • Mentor a team of junior engineers and architects, fostering a culture of innovation and continuous learning.
  • Conduct technical feasibility studies and prototype future technologies to validate architectural hypotheses.

Qualifications

  • Minimum of 8 years of experience in cloud architecture, distributed systems, or software engineering.
  • Deep understanding of Artificial Intelligence, Machine Learning, and emerging Quantum Computing concepts.
  • Expert proficiency in major cloud providers (AWS, Azure, GCP) and container orchestration tools like Kubernetes.
  • Strong background in system design patterns, microservices, and high-availability solutions.
  • Proven track record of leading cross-functional teams in high-stakes, fast-paced environments.
  • Excellent communication skills, capable of articulating complex technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s preferred).

Required Skills

Artificial Intelligence Quantum Computing System Architecture Cloud Computing Machine Learning Kubernetes Python Leadership Microservices Edge Computing

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