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Artificial Intelligence 🏒 Full Time ⭐️ Verified

2026 AI Architect

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the 2026 Initiative, a next-generation artificial intelligence framework designed to redefine human-machine interaction. As a 2026 AI Architect, you will lead the architectural strategy for our flagship platform, ensuring scalability, safety, and unprecedented performance. If you are a visionary engineer ready to build the infrastructure of tomorrow, we want to hear from you.

Why Join Apex Horizon?

  • Work on cutting-edge AGI research and deployment.
  • Competitive equity package and top-tier benefits.
  • Collaborate with industry leaders in a fully remote-friendly environment.

Responsibilities

  • Architectural Leadership: Design and oversee the end-to-end architecture of the 2026 AI framework, ensuring robustness and scalability across distributed systems.
  • Model Optimization: Lead efforts to optimize large-scale transformer models for inference speed and memory efficiency.
  • System Integration: Integrate proprietary neural networks with cloud-native infrastructure to support real-time data processing.
  • Technical Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Security & Compliance: Implement rigorous security protocols to protect proprietary data and ensure AI safety standards.
  • Roadmap Planning: Define technical roadmaps and best practices for the future evolution of the 2026 ecosystem.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software architecture, with at least 3 years in AI/ML systems engineering.
  • Technical Skills: Deep proficiency in Python, Rust, and distributed computing frameworks (Kubernetes, Docker).
  • AI Expertise: Strong understanding of deep learning architectures, NLP, and reinforcement learning.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous technical challenges.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Rust Kubernetes Docker Machine Learning Deep Learning NLP Distributed Systems AI Architecture Cloud Computing

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