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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Future AI Architect (2026 Vision Initiative)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Future AI Architect to lead our cutting-edge 2026 Vision Initiative. At Apex Horizon Systems, we are building the infrastructure for tomorrow's intelligence. You will define the architectural roadmap for General AI integration, ensuring our platforms are scalable, secure, and ethically aligned with the technological horizon of 2026.

If you are passionate about pushing the boundaries of what's possible and want to shape the future of human-computer interaction, we want to hear from you.

Responsibilities

  • Lead the 2026 AI Strategy: Define the long-term technical roadmap for our AI infrastructure, anticipating trends in Generative AI, Neural Interfaces, and Quantum Computing.
  • Architect Scalable Systems: Design and implement robust, distributed AI systems capable of processing petabytes of real-time data with zero latency.
  • Cross-Functional Leadership: Collaborate with product, security, and engineering teams to integrate advanced AI models into consumer and enterprise products.
  • R&D Innovation: Spearhead research projects exploring the intersection of biological neural networks and silicon-based computation.
  • Ethical AI Governance: Establish guidelines and frameworks to ensure AI deployment remains transparent, unbiased, and safe for global users.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Experience: 8+ years of experience in software architecture, specifically within high-scale AI/ML environments.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud-native architecture (AWS, Azure, or GCP).
  • Future Tech Fluency: Demonstrated understanding or experience with emerging technologies relevant to the 2026 landscape, such as Edge AI, Federated Learning, or Quantum algorithms.
  • Leadership: Proven track record of leading technical teams and managing complex, cross-disciplinary projects.

Required Skills

Python Machine Learning Deep Learning Cloud Architecture AI Strategy Quantum Computing Neural Networks

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