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2026 AI Lead Architect

Horizon Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Architecting the Future for 2026

We are looking for a visionary 2026 AI Lead Architect to spearhead the development of our next-generation autonomous systems. At Horizon Systems, we are building the infrastructure for the year 2026, integrating quantum-ready neural networks with edge computing to redefine human-machine interaction.

In this pivotal role, you will not just write code; you will define the architectural patterns that will power the smart cities and autonomous fleets of the future. You will lead a team of elite engineers and researchers in building scalable, robust, and ethically aligned AI frameworks.

Why Join Us?

  • Next-Gen Tech Stack: Work with cutting-edge tools including PyTorch, TensorFlow, and custom neural architectures.
  • Impact: Your work will directly influence the technological landscape of 2026 and beyond.
  • Culture: A diverse, inclusive environment that values bold ideas and technical excellence.

Responsibilities

  • Design and implement high-level architecture for large-scale AI systems focused on the 2026 timeline.
  • Lead the research and development of proprietary Machine Learning models.
  • Mentor senior engineers and define coding standards for the AI division.
  • Collaborate with product teams to translate futuristic concepts into viable technical roadmaps.
  • Ensure system scalability, security, and ethical AI compliance.
  • Conduct technical due diligence on emerging technologies for the 2026 roadmap.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML leadership.
  • Deep expertise in Python, C++, and distributed systems.
  • Proven track record of delivering complex AI projects from concept to production.
  • Strong understanding of Generative AI, NLP, and Computer Vision.
  • Experience with cloud platforms (AWS/GCP) and containerization (Docker/K8s).

Required Skills

Python TensorFlow PyTorch System Design Cloud Computing Distributed Systems Machine Learning NLP Computer Vision

Ready to Take This Challenge?

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