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Senior AI/ML Architect (2026 Vision)

NexusCore Technologies
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Welcome to NexusCore Technologies, the architects of the digital future. We are not just building software; we are engineering the reality of 2026. We are seeking a visionary Senior AI/ML Architect to lead our breakthrough research in Artificial General Intelligence (AGI) and post-quantum neural networks.


In this pivotal role, you will define the architectural blueprints for systems that will define the next decade of human-machine interaction. If you are passionate about pushing the boundaries of what is possible in machine learning and want to work on projects that will be celebrated in 2026, we want to hear from you.


Why Join Us?

  • Work on cutting-edge AGI frameworks.
  • Competitive equity and benefits package.
  • Remote-first culture with global collaboration.
  • Opportunity to shape the tech landscape of 2026.

Responsibilities

  • Design and implement scalable neural architectures capable of handling the computational demands of the 2026 era.
  • Lead the research and development of Large Language Models (LLMs) with a focus on reasoning and autonomous agent capabilities.
  • Oversee the integration of quantum-resistant encryption into deep learning pipelines.
  • Collaborate with cross-functional teams to translate theoretical AI concepts into production-ready software.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Evaluate and select emerging technologies to keep our stack ahead of the curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering, with at least 2 years in a lead or architect role.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Strong understanding of transformer models, generative AI, and reinforcement learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs AGI Quantum Computing Cloud Architecture Docker Kubernetes AWS

Ready to Take This Challenge?

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