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Information Technology 🏢 Full Time ⭐️ Verified

Senior Future Systems Architect (2026 Roadmap)

Horizon 2026
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of the Future.

Horizon 2026 is a pioneering research and development firm at the forefront of next-generation technology. We are seeking a visionary Senior Future Systems Architect to lead the technical strategy for our 2026 product roadmap. In this role, you will define the infrastructure that powers the technologies of tomorrow, working on cutting-edge AI, quantum computing interfaces, and sustainable energy grids.

If you are a technical leader who thrives on ambiguity and loves solving complex, forward-looking problems, we want to hear from you.

Responsibilities

  • Architect 2026 Roadmap: Lead the end-to-end design of scalable, high-performance systems aligned with the company's 2026 strategic milestones.
  • Innovation Leadership: Identify and prototype emerging technologies (e.g., Neuro-Symbolic AI, Edge Computing) to drive competitive advantage.
  • Technical Strategy: Define architectural standards and best practices for a distributed, multi-cloud environment.
  • Team Mentorship: Mentor senior engineers and junior developers, fostering a culture of technical excellence and continuous learning.
  • Cross-Functional Collaboration: Partner with product managers and designers to translate complex requirements into robust technical solutions.
  • Risk Management: Proactively identify potential technical debt and architectural bottlenecks before they impact the roadmap.

Qualifications

  • Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership capacity.
  • Tech Stack: Deep expertise in Python, Go, or Rust, and experience with distributed systems.
  • Future Tech Knowledge: Strong understanding of Machine Learning pipelines, Large Language Models (LLMs), and Cloud-native architectures (Kubernetes, AWS/GCP).
  • Problem Solving: Proven ability to navigate ambiguity and deliver results in fast-paced, experimental environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.

Required Skills

Python Go Rust Machine Learning System Design Kubernetes AWS Cloud Architecture AI/LLM Leadership

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