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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Generative Evolution

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon Labs is pioneering the technological frontier. As we approach the 2026 era of autonomous intelligence, we are seeking a visionary Senior AI Architect to lead the development of the next generation of generative models. If you are passionate about pushing the boundaries of what artificial intelligence can achieve, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the future of humanity.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to mentor the next generation of tech leaders.

Responsibilities

  • Design and architect scalable neural network architectures for high-performance generative AI systems.
  • Lead the research and implementation of novel algorithms to improve model efficiency and accuracy.
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise-grade products.
  • Ensure ethical AI practices and compliance with global regulatory standards for autonomous systems.
  • Conduct code reviews, technical mentoring, and architectural planning sessions.
  • Drive innovation in data pipelines, training infrastructure, and model deployment strategies.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in deep learning, machine learning, or artificial intelligence engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of Large Language Models (LLMs), Transformers, and Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP Docker Kubernetes Neural Networks Natural Language Processing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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