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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect 2026 | San Francisco, CA

Apex Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are on the precipice of a technological singularity, and we need a leader to guide us through it. Apex Future Labs is seeking a visionary Future Systems Architect (Class of 2026) to define the next generation of infrastructure.

In this role, you will bridge the gap between current AI capabilities and the autonomous systems anticipated for the 2026 era. You will work on cutting-edge projects involving Agentic AI, Quantum Readiness, and Decentralized Web3 protocols. If you are passionate about shaping the future and possess an unyielding drive for innovation, this is your opportunity to build the systems of tomorrow, today.

Responsibilities

  • Architect and design scalable, resilient systems capable of handling next-generation AI workloads and data volumes.
  • Lead research initiatives into emerging technologies, specifically focusing on the 2026 technology roadmap.
  • Collaborate with cross-functional teams to integrate quantum-ready algorithms into existing cloud infrastructures.
  • Define technical standards and best practices for ethical AI implementation and data sovereignty.
  • Mentor senior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
  • Oversee the migration of legacy systems to future-proof architectures, ensuring zero downtime.

Qualifications

  • 10+ years of experience in System Architecture, Cloud Computing (AWS/Azure/GCP), and Machine Learning infrastructure.
  • Proven track record of leading technical teams in a high-growth environment.
  • Deep understanding of Generative AI models, LLMs, and their deployment architectures.
  • Experience with Quantum Computing concepts and hybrid classical-quantum systems.
  • Master’s degree in Computer Science, Physics, or a related technical field.
  • Strong focus on cybersecurity, privacy-preserving computation, and ethical AI governance.

Required Skills

System Architecture Cloud Infrastructure Artificial Intelligence Machine Learning Quantum Computing Python Go Kubernetes AWS Agile Methodologies

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