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Senior AI Architect (2026 Visionary)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence.

Nexus Future Systems is pioneering the next generation of autonomous artificial intelligence. As we prepare for the rapid evolution of the 2026 tech landscape, we are seeking a visionary Senior AI Architect to lead our research and engineering division.

In this role, you won't just maintain the status quo; you will architect the systems that define the future. We are looking for a technical leader who is passionate about Generative AI, Large Language Models (LLMs), and the ethical deployment of autonomous agents. If you are ready to work on projects that will be relevant for decades to come, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Generative AI and Multimodal Learning projects.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with HQ in San Francisco.

Responsibilities

  • Design and implement scalable machine learning pipelines for next-gen Generative AI models.
  • Lead research initiatives focused on Autonomous Agent reasoning and reinforcement learning.
  • Optimize model inference for real-time, high-volume production environments.
  • Collaborate with product and engineering teams to define the roadmap for 2026 technology readiness.
  • Ensure data integrity, model robustness, and adherence to AI safety and ethics standards.
  • Mentor junior engineers and contribute to the technical vision of the organization.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent professional experience).
  • 5+ years of experience in Machine Learning, Deep Learning, or AI Engineering.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, LLM architectures (e.g., Transformers), and Natural Language Processing.
  • Experience deploying AI models at scale using cloud infrastructure (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Generative AI LLM TensorFlow PyTorch AI Architecture San Francisco California

Ready to Take This Challenge?

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