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Senior AI Architect: 2026 Vision

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

Job Description

Are you ready to architect the future?

Horizon Systems is at the forefront of defining the technology stack for 2026. We are building the infrastructure that will power the next generation of Artificial General Intelligence (AGI) and spatial computing. We are seeking a visionary Senior AI Architect to lead our 'Year 2026' initiative, ensuring our platforms are future-proof and scalable for the decade ahead.

In this role, you won't just maintain systems; you will design the neural pathways of tomorrow. You will work with cutting-edge technologies including Large Language Model (LLM) fine-tuning, quantum-ready algorithms, and immersive interfaces.

Why join Horizon Systems?

  • Shape the roadmap for 2026 and beyond.
  • Work with top-tier engineers in a fully remote-first, high-performance culture.
  • Competitive compensation and equity packages.

Responsibilities

  • Design and implement scalable architectures for next-gen AI systems, specifically optimized for the 2026 tech stack.
  • Lead the integration of quantum computing principles into standard machine learning pipelines.
  • Oversee the development of neural interfaces and spatial computing frameworks.
  • Collaborate with product teams to translate futuristic concepts into actionable technical roadmaps.
  • Mentor junior architects and engineers in best practices for AGI safety and efficiency.
  • Conduct rigorous code reviews and system architecture audits to ensure long-term stability.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML.
  • Deep expertise in Python, TensorFlow, PyTorch, and Rust.
  • Proven track record of leading projects that anticipated industry trends (e.g., early adoption of Transformers).
  • Experience with distributed systems and cloud infrastructure (AWS/GCP/Azure).
  • Strong understanding of ethical AI, bias mitigation, and safety protocols.

Required Skills

AI Architecture Machine Learning Python Rust Quantum Computing Distributed Systems AGI Spatial Computing Cloud Infrastructure

Ready to Take This Challenge?

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