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Lead AI Architect - Project 2026 | San Francisco, CA

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

About Nexus Horizon
We are pioneering the next generation of intelligent systems. As part of our ambitious 'Project 2026' initiative, we are seeking a visionary Lead AI Architect to design the infrastructure for the future of synthetic intelligence. You will be responsible for defining the technical roadmap for our flagship AI platform and ensuring scalability, security, and ethical compliance.

Why Join Us?
β€’ Work on cutting-edge generative AI models.
β€’ Competitive equity package and top-tier healthcare.
β€’ Remote-first culture with a vibrant San Francisco office.

Responsibilities

  • Design and architect scalable, high-performance AI infrastructure for the Project 2026 ecosystem.
  • Lead the research and development of advanced machine learning algorithms and neural network architectures.
  • Collaborate with cross-functional teams (product, engineering, and compliance) to integrate AI solutions into production environments.
  • Establish best practices for data governance, model training, and deployment pipelines.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous testing and validation to ensure model accuracy and bias mitigation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Large Language Models (LLMs), NLP, and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of leading technical teams and managing complex projects from conception to launch.
  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Docker Kubernetes NLP Neural Networks Cloud Architecture

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