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Senior AI Architect | Future Tech 2026 | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are Nexus Future Systems, a pioneer in the field of Artificial General Intelligence (AGI). As we approach the 2026 era of autonomous reasoning and digital sentience, we are seeking a visionary Senior AI Architect to lead our core research division. If you are passionate about building the systems that will define the next decade of human-machine interaction, this is your opportunity to shape the future.


Why Join Us?
We offer competitive equity packages, a remote-first culture, and the chance to work on cutting-edge projects that will impact billions.

Responsibilities

  • Architect Next-Gen Neural Architectures: Design and implement scalable, efficient deep learning models capable of advanced reasoning and autonomous decision-making.
  • Lead Research Initiatives: Spearhead R&D projects focused on Large Language Models (LLMs) and multimodal AI agents.
  • Optimize Model Performance: Reduce latency and improve inference accuracy for real-time applications.
  • Collaborate Across Disciplines: Work closely with data scientists, backend engineers, and product managers to translate theoretical research into production-ready solutions.
  • Ensure Ethical AI: Implement safety protocols and bias mitigation strategies in AI training pipelines.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: Minimum of 5+ years of experience in machine learning engineering, with at least 2 years leading complex AI projects.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Ray, Kubernetes).
  • Model Training: Deep expertise in training and fine-tuning Large Language Models (GPT-4, LLaMA, etc.).
  • Problem Solving: Demonstrated ability to tackle novel problems in unsupervised learning and reinforcement learning.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP Distributed Systems AI Architecture

Ready to Take This Challenge?

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