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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Future Tech

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the technological infrastructure for the year 2026 and beyond. At Horizon Dynamics, we are not just building software; we are architecting the future of autonomous systems and General Purpose AI. You will have the unique opportunity to define the architectural standards for next-gen intelligence, ensuring our solutions are scalable, ethical, and transformative.

What You'll Do:

  • Design and implement robust systems architecture for high-performance AI models.
  • Drive the integration of neuromorphic computing and edge AI technologies.
  • Collaborate with world-class researchers to bridge the gap between theoretical AI and production-ready code.
  • Establish best practices for AI ethics, safety, and compliance in a rapidly evolving landscape.
  • Lead technical strategy sessions and mentor a team of elite engineers.

Responsibilities

  • Lead the architectural vision for Horizon Dynamics' core products, focusing on scalability and AI integration.
  • Oversee the deployment of Large Language Models (LLMs) and generative AI frameworks in production environments.
  • Conduct code reviews and architecture reviews to ensure system integrity and performance.
  • Identify emerging technologies (e.g., quantum computing interfaces) and assess their applicability to current projects.
  • Communicate complex technical concepts to non-technical stakeholders and investors.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related STEM field.
  • Minimum of 8 years of experience in software architecture, with at least 3 years focused on AI/ML.
  • Expert proficiency in Python, C++, and major ML frameworks (PyTorch, TensorFlow, JAX).
  • Deep understanding of deep learning architectures, NLP, and computer vision.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
  • Strong commitment to AI ethics, data privacy, and responsible innovation.

Required Skills

AI Machine Learning Python Software Architecture Deep Learning LLMs San Francisco NEUromorphic Computing AWS GCP

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