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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Year 2026 Horizon

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are building the infrastructure for the Year 2026 and beyond. Nexus Future Systems is seeking visionary Senior AI Architects to pioneer the next generation of Artificial General Intelligence (AGI) and autonomous systems. If you are passionate about the boundaries of machine learning and eager to define the future of human-computer interaction, this is your opportunity to lead high-impact projects in a world-class research environment.

In this role, you will bridge the gap between theoretical research and scalable production systems, ensuring our AI models are not only intelligent but safe, efficient, and ethically aligned.

Responsibilities

  • Architect and deploy scalable deep learning models for next-generation LLMs and multimodal AI systems.
  • Design robust infrastructure for reinforcement learning and autonomous agent frameworks.
  • Conduct rigorous safety and alignment testing to ensure AI behavior adheres to ethical guidelines.
  • Collaborate with cross-functional teams of researchers, engineers, and product managers to translate cutting-edge research into production-ready applications.
  • Optimize model inference speed and reduce computational costs for real-time applications.
  • Stay ahead of the curve by identifying emerging trends in AI research, specifically focusing on the 2026 technology horizon.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in designing and implementing large-scale machine learning systems.
  • Expert proficiency in Python, PyTorch, or TensorFlow, with deep knowledge of C++ for performance optimization.
  • Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ICLR, etc.) or deploying impactful AI products.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps best practices.
  • Demonstrated ability to lead technical teams and mentor junior engineers.

Required Skills

Artificial Intelligence Machine Learning Deep Learning NLP Python PyTorch C++ MLOps AGI Reinforcement Learning Cloud Architecture

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