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Principal AI Architect (2026 Vision)

Horizon AI Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Horizon AI Labs as we architect the intelligence layer for the next decade. We are looking for a visionary Principal AI Architect to lead our R&D division focused on 2026-era predictive systems and next-generation generative models.

In this role, you won't just maintain existing systems; you will define the fundamental paradigms of Artificial General Intelligence (AGI) as they approach mainstream adoption. You will bridge the gap between theoretical research and scalable production infrastructure, ensuring our solutions are robust, ethical, and future-proof.

If you are passionate about the intersection of machine learning, quantum computing, and human-centric design, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the implementation of scalable neural architectures capable of handling the complexity of 2026+ data streams.
  • Predictive Modeling: Develop long-term forecasting models that anticipate market shifts and user behaviors with high precision.
  • R&D Leadership: Guide a team of top-tier data scientists and engineers in exploring cutting-edge methodologies, including self-supervised learning and multimodal AI.
  • Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and transparency to ensure responsible deployment.
  • Infrastructure Optimization: Collaborate with DevOps teams to deploy models on distributed cloud and edge computing environments.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field.
  • Experience: 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural or leadership role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Innovation Mindset: Demonstrated history of innovating in the AI space, with a portfolio of patents or published research papers.
  • Communication: Exceptional ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Python System Architecture Cloud Computing R&D Predictive Analytics

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