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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to define the future of intelligent systems? Nexus Horizon is seeking a visionary Senior AI Architect (2026 Roadmap) to lead our groundbreaking research into next-generation autonomous agents and generative models.

We are building the foundational technologies that will define the landscape of 2026 and beyond. You will be at the forefront of integrating advanced machine learning with scalable software engineering, ensuring our systems are not only cutting-edge but robust and production-ready.

Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on projects that have a global impact. Our culture prioritizes innovation, autonomy, and continuous learning.

Responsibilities

  • Architect Design: Design and deploy large-scale AI infrastructure and neural network architectures for the 2026 strategic roadmap.
  • R&D Leadership: Lead research initiatives to pioneer new algorithms in reinforcement learning and multimodal AI.
  • System Optimization: Optimize model performance for latency and throughput in high-volume production environments.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into business value.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of experience in designing and implementing production-grade machine learning systems.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Specialization: Proven track record in Transformer models, Large Language Models (LLMs), or Generative Adversarial Networks (GANs).
  • Soft Skills: Exceptional problem-solving abilities, strong communication skills, and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes System Design AI Research

Ready to Take This Challenge?

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