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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect - 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are not just building for tomorrow; we are architecting the world of 2026. Nexus Horizon is seeking a visionary Principal AI Architect to spearhead our next-generation generative intelligence infrastructure. In this pivotal role, you will bridge the gap between theoretical quantum potential and practical machine learning deployment, defining the technological roadmap for the next decade.

As a leader in our Engineering division, you will collaborate with top-tier researchers and product engineers to create scalable, ethical, and groundbreaking AI systems. If you thrive in a high-velocity, innovation-driven environment and want to leave a permanent mark on the future of technology, this is your opportunity.

Why join us?

  • Future-First Technology: Work on bleeding-edge AI models before they hit the mainstream market.
  • Competitive Compensation: Industry-leading salary and equity packages.
  • Elite Team: Partner with PhDs and industry veterans from top FAANG companies.

Responsibilities

  • Define and execute the technical roadmap for the 2026 AI infrastructure, ensuring scalability and robustness.
  • Lead the architecture of proprietary large language models and neural networks.
  • Collaborate with cross-functional teams (Data Science, Security, Product) to integrate AI solutions into core products.
  • Mentor senior engineers and junior architects, fostering a culture of technical excellence.
  • Conduct rigorous code reviews and architectural assessments to mitigate risk.
  • Stay ahead of industry trends, including quantum computing advancements and neuromorphic engineering.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Advanced degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Deep expertise in Python, C++, and distributed systems.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and MLOps.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning AI Architecture Cloud Computing MLOps System Design Neural Networks

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