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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision | San Francisco

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

Job Description

We are engineering the infrastructure for tomorrow, today. Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our next-generation autonomous systems and Generative AI initiatives targeting the 2026 landscape.

In this pivotal role, you will move beyond traditional software engineering to define the protocols of artificial general reasoning. We are looking for a technical mastermind who thrives on solving complex, high-stakes problems and possesses the foresight to build scalable, secure, and ethical AI architectures that define the future.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in machine learning.

Responsibilities

  • Architect and deploy scalable ML pipelines capable of processing exabyte-scale data with sub-millisecond latency.
  • Lead the development of proprietary Generative AI models tailored for enterprise-grade automation and decision support.
  • Define the technical roadmap for our AI infrastructure, ensuring alignment with long-term strategic goals.
  • Establish rigorous standards for model monitoring, explainability, and bias mitigation to ensure ethical AI deployment.
  • Collaborate with product and engineering teams to integrate advanced AI capabilities into real-time consumer applications.
  • Conduct cutting-edge research to integrate emerging breakthroughs (e.g., Multimodal AI, Spatial Computing) into our product suite.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related STEM field (Ph.D. preferred).
  • Minimum of 7 years of professional experience in Machine Learning and Deep Learning engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow; experience with JAX is a plus.
  • Proven track record of deploying large-scale models to production environments using cloud-native architectures.
  • Strong understanding of distributed computing systems, microservices, and containerization (Docker/Kubernetes).
  • Deep knowledge of Natural Language Processing (NLP) and Computer Vision.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Docker Kubernetes NLP Computer Vision Distributed Systems Generative AI

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