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Lead AI Architect | Project 2026 Initiative

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the infrastructure for the future. Apex Horizon Technologies is seeking a visionary Lead AI Architect to spearhead Project 2026. Our mission is to redefine the technological landscape by 2026, creating autonomous systems that are smarter, faster, and more efficient than anything currently imagined.

In this role, you will not just write code; you will architect the very fabric of our next-generation AI ecosystem. We are looking for a thought leader who thrives on complexity and is driven by the challenge of building systems that operate at the edge of possibility.

Key Benefits:

  • Competitive base salary and equity package.
  • Unlimited PTO and flexible remote-first work culture.
  • Top-tier health, dental, and vision coverage.
  • Access to cutting-edge hardware and research resources.

Responsibilities

  • Architect and deploy scalable deep learning models for autonomous decision-making systems.
  • Lead the R&D strategy for Project 2026, focusing on Generative AI and Quantum computing integration.
  • Mentor and manage a high-performance team of data scientists and ML engineers.
  • Collaborate with product and engineering teams to translate complex research into production-grade software.
  • Define technical standards and best practices for AI safety and ethics.
  • Conduct cutting-edge research to maintain a competitive edge in the AI landscape.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in machine learning, deep learning, and large-scale systems architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of leading technical teams and managing complex cross-functional projects.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning AI Architecture Cloud Computing AWS Kubernetes NLP Computer Vision Leadership Research

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