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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Project 2026

Horizon Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead Project 2026, our ambitious initiative to redefine the boundaries of neural network scalability and human-machine interaction. In this role, you will design the foundational infrastructure that powers the next generation of autonomous systems.

Join a team of elite engineers and researchers dedicated to solving the world's most complex problems through advanced technology. You will have the autonomy to experiment with cutting-edge tools and the opportunity to shape the future of the industry.

Responsibilities

  • Architect and implement scalable machine learning pipelines capable of processing petabytes of real-time data.
  • Lead the technical strategy for Project 2026, ensuring alignment with long-term business goals.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Mentor and guide a team of junior data scientists and engineers, fostering a culture of innovation.
  • Stay at the forefront of AI research, evaluating and implementing new methodologies and technologies.
  • Optimize model performance and reduce latency in high-stakes environments.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5-7 years of experience in software engineering and machine learning.
  • Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Strong understanding of neural network architectures and deep learning principles.
  • Proven track record of leading technical projects from conception to deployment.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker Machine Learning Deep Learning Cloud Architecture AWS GCP Data Engineering System Design

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