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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Project 2026 | San Francisco, CA

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead Project 2026, our next-generation autonomous infrastructure initiative. In this pivotal role, you will define the technical roadmap for AI-driven solutions that will redefine the landscape of the mid-2020s.

We are looking for a leader who not only possesses deep technical expertise but also a passion for ethical AI implementation and scalable architecture. You will collaborate with cross-functional teams to deploy cutting-edge machine learning models and drive innovation in neural network design.

Responsibilities

  • Architect and implement scalable AI/ML infrastructure for Project 2026.
  • Lead the design and optimization of deep learning and neural network models.
  • Establish best practices for data governance, security, and AI ethics compliance.
  • Collaborate with engineering teams to integrate AI capabilities into core product ecosystems.
  • Mentor junior data scientists and architects to foster a culture of innovation.
  • Drive technical strategy and roadmap planning for long-term AI evolution.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in AI/ML architecture, software development, and system design.
  • Proficiency in Python, TensorFlow, PyTorch, and major cloud platforms (AWS, Azure, or GCP).
  • Strong expertise in Natural Language Processing (NLP) and Computer Vision.
  • Experience leading large-scale technical projects and managing cross-functional teams.
  • Excellent problem-solving skills and ability to communicate complex concepts to stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Azure GCP Machine Learning Deep Learning NLP Computer Vision System Architecture AI Ethics

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