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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: The 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our cutting-edge initiatives for the 2026 roadmap. At Nexus Future Systems, we are not just predicting the future; we are building it. You will be at the forefront of developing next-generation artificial intelligence architectures that will define the digital landscape of the coming decade. This is a rare opportunity to shape the very core of autonomous systems and generative models.

Why Join Us?

  • Work on projects with a direct impact on the 2026 global technology landscape.
  • Competitive compensation package and equity options.
  • State-of-the-art research facilities in the heart of SF.

Responsibilities

  • Architect Next-Gen AI: Design and implement scalable deep learning models and neural network architectures for future-ready applications.
  • Lead Research: Spearhead research in Generative AI, Large Language Models (LLMs), and reinforcement learning aligned with the 2026 vision.
  • Optimize Performance: Engineer high-performance inference pipelines capable of processing complex data streams in real-time.
  • Collaborate: Partner with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready solutions.
  • Ethical AI: Establish and enforce guidelines for responsible AI development and bias mitigation.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering with a focus on production environments.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with MLOps tools (Kubernetes, MLflow) is highly desirable.
  • Domain Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Problem Solving: Demonstrated ability to tackle complex, unstructured problems and deliver innovative solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps NLP AI Architecture Reinforcement Learning

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