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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect - 2026 Horizon

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the digital landscape of tomorrow? Nexus Horizon Technologies is seeking a visionary Future Systems Architect to spearhead our 2026 roadmap initiatives. In this pivotal role, you will bridge the gap between cutting-edge AI capabilities and scalable infrastructure, ensuring our platforms are not just ready for 2026, but defining it.

We are looking for a leader who thrives in ambiguity and possesses a deep understanding of quantum-ready architectures and generative AI integration. You will work in a dynamic environment where your decisions today will shape the technology of the future.

Responsibilities

  • Design and implement resilient, scalable system architectures aligned with the 2026 technological horizon.
  • Lead the integration of Generative AI and Machine Learning models into core enterprise workflows.
  • Define technical strategies for quantum computing readiness within legacy systems.
  • Conduct high-level feasibility studies and risk assessments for emerging technologies.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.
  • Collaborate with product teams to translate futuristic concepts into actionable technical specifications.

Qualifications

  • 10+ years of experience in software architecture, with at least 3 years in leadership or strategic planning.
  • Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization (Kubernetes/Docker).
  • Proven track record of integrating AI/ML solutions into production environments.
  • Strong understanding of cybersecurity principles and zero-trust architecture frameworks.
  • Experience with quantum computing concepts or a strong desire to pioneer this niche.
  • Excellent communication skills, capable of translating technical jargon for executive stakeholders.

Required Skills

System Architecture AI Integration Cloud Computing Machine Learning Kubernetes Quantum Computing Python Leadership

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