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Senior AI Architect - 2026 Vision

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

Job Description

Join the Future of Intelligence. Nexus Horizon Labs is pioneering the architecture for Artificial General Intelligence (AGI) projected for the 2026 horizon. We are looking for visionary engineers to build the systems that will define the next decade of human-machine interaction.

As a Senior AI Architect, you will lead the design and implementation of scalable, multi-modal deep learning frameworks. You will work at the intersection of neuroscience and computer science, pushing the boundaries of what is possible in model efficiency and reasoning capabilities.

Why Nexus Horizon?

  • Work on cutting-edge research with a direct impact on the 2026 roadmap.
  • Competitive equity package and top-tier compensation.
  • Collaborative environment with industry pioneers.

Responsibilities

  • Design and deploy scalable deep learning architectures for next-generation Large Language Models (LLMs).
  • Optimize model inference latency and throughput using quantization and pruning techniques.
  • Lead the implementation of Reinforcement Learning from Human Feedback (RLHF) pipelines.
  • Collaborate with cross-functional teams to integrate AI models into consumer hardware.
  • Mentor junior engineers and establish best practices for MLOps and model governance.
  • Research novel approaches in neural-symbolic integration and causal reasoning.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering with a focus on deep learning.
  • Proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
  • Strong understanding of distributed training systems and GPU acceleration (CUDA).
  • Experience with transformer architectures and large-scale model training.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).

Required Skills

Python PyTorch TensorFlow CUDA Deep Learning Large Language Models MLOps Distributed Systems Machine Learning Reinforcement Learning

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