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Future Systems Architect (Year 2026)

Quantum Horizon Solutions
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future? Quantum Horizon Solutions is seeking a visionary Future Systems Architect to lead our Year 2026 initiative. We are building the next generation of autonomous, quantum-ready software ecosystems and are looking for a technical leader who thrives on complexity and innovation.

In this role, you will bridge the gap between theoretical AI research and production-grade infrastructure. You will define the architectural roadmap for our upcoming agentic AI products and ensure our systems are resilient, scalable, and future-proof.

Why Join Us?

  • Work on cutting-edge projects that define the technological landscape of the next decade.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with hubs in San Francisco and Austin.

Responsibilities

  • Architect and implement scalable, high-performance infrastructure for Year 2026 readiness.
  • Lead the architectural design of generative AI models and agentic workflows.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct technical code reviews to maintain high standards.
  • Drive the adoption of new technologies, ensuring the team stays ahead of industry trends.
  • Optimize system performance, security, and cost-efficiency.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with large language models (LLMs) and vector databases.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field is preferred.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Docker System Design Machine Learning Cloud Architecture AI

Ready to Take This Challenge?

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