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Information Technology 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Vision)

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the digital landscape of tomorrow?

Horizon 2026 Technologies is seeking a visionary Future Systems Architect to lead our infrastructure strategy. In this pivotal role, you will define the technical roadmap for the 2026 era, integrating cutting-edge AI and quantum-ready architectures into our core ecosystem. We are looking for a leader who doesn't just adapt to change but drives it.

Why join us?

  • Shape the future of technology with a forward-thinking team.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a premium San Francisco office.

As the 2026 Architect, you will bridge the gap between theoretical future-tech and practical application, ensuring our platforms are scalable, secure, and intelligent.

Responsibilities

  • Architect Next-Gen Infrastructure: Design and oversee the implementation of resilient, scalable systems tailored for the 2026 technological landscape, including AI-driven automation.
  • AI Integration Strategy: Lead the integration of Generative AI and Large Language Models (LLMs) into existing enterprise workflows to optimize efficiency.
  • Cloud & Edge Computing: Manage the migration and optimization of cloud-native applications, ensuring zero-latency edge computing capabilities.
  • Roadmap Development: Create a comprehensive technical roadmap aligned with the 2026 company vision, identifying emerging technologies like quantum computing.
  • Team Leadership: Mentor a team of high-performing engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Experience: Minimum of 8+ years of experience in Systems Architecture, Cloud Engineering, or a similar technical leadership role.
  • Technical Stack: Deep expertise in Kubernetes, Docker, AWS/Azure, and Python.
  • AI Proficiency: Strong background in Machine Learning operations (MLOps) and conversational AI frameworks.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
  • Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Systems Architecture AI Integration Cloud Computing Kubernetes Docker Python AWS Machine Learning MLOps Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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