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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary Lead AI Architect to define the technological roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable enterprise implementation. We are not just building software; we are constructing the digital consciousness of tomorrow.


Join a team of elite engineers and strategists dedicated to pushing the boundaries of what is possible. You will lead high-impact initiatives that shape the ethical and functional landscape of AI for the next decade.


Why Join Us?
- Shape the future of technology.
- Work with state-of-the-art AI models.
- Competitive compensation package.

Responsibilities

  • Define and execute the 2026 AI Architecture Strategy to align with long-term company goals.
  • Lead the design and implementation of scalable machine learning pipelines and neural network architectures.
  • Collaborate with cross-functional teams (Product, Engineering, Ethics Board) to ensure responsible AI deployment.
  • Oversee the integration of emerging technologies (e.g., Generative AI, Quantum Computing interfaces) into existing infrastructure.
  • Drive technical innovation by researching and prototyping next-generation algorithms.
  • Mentor junior architects and data scientists to foster a culture of excellence and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or data science with at least 5 years in a leadership or architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Proven track record of delivering complex AI projects from conception to production.
  • Strong understanding of AI ethics, bias mitigation, and responsible AI principles.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.
  • Master’s degree or Ph.D. in Computer Science, AI, or a related field is preferred.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow Strategic Planning Cloud Architecture Leadership Ethics in AI

Ready to Take This Challenge?

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