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Chief Future Architect (2026 Roadmap)

Horizon AI Systems
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are seeking a visionary Chief Future Architect to lead our strategic technology roadmap toward the year 2026. At Horizon AI Systems, we are building the foundational infrastructure for the next era of human-machine collaboration. You will not be maintaining legacy systems; you will be designing the architecture for the future.

In this role, you will bridge the gap between theoretical AI advancements and practical, scalable enterprise solutions. You will define the technical standards that will govern our company for the next decade, ensuring we remain at the forefront of innovation.

Why Join Us?

  • Work on cutting-edge generative AI and autonomous agents.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium tech equipment.

Responsibilities

  • Architect and define the technical vision for Horizon AI Systems leading up to 2026, focusing on scalability, security, and AI integration.
  • Lead a team of senior engineers in developing proprietary algorithms and machine learning models.
  • Evaluate emerging technologies (e.g., neuromorphic computing, advanced LLMs) and integrate viable solutions into our ecosystem.
  • Establish best practices for cloud infrastructure, ensuring high availability and data sovereignty.
  • Collaborate with product and executive leadership to translate business goals into technical roadmaps.
  • Oversee system performance optimization and incident response for critical infrastructure.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a leadership or architect role within the AI/ML sector.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong background in cloud architecture (AWS, GCP, or Azure) and microservices.
  • Experience designing systems for high concurrency and large-scale data processing.
  • Master’s degree in Computer Science, Data Science, or a related technical field.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Cloud Architecture TensorFlow AWS System Design Leadership Generative AI Neuronal Networks

Ready to Take This Challenge?

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