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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

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

Job Description

We are building the infrastructure for the autonomous era. Nexus Future Systems is seeking a visionary Senior AI Architect (2026 Vision) to lead the development of next-generation generative AI and agentic workflows.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are robust, ethical, and ready for the demands of 2026 and beyond. You will work alongside world-class engineers and data scientists to deploy cutting-edge Large Language Models (LLMs) and reinforcement learning agents.

Why join us?

  • Shape the roadmap for the next decade of AI.
  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive compensation and equity package.

Responsibilities

  • Architect and deploy scalable AI solutions using Python, PyTorch, and TensorFlow.
  • Design and optimize Large Language Models (LLMs) for specific enterprise use cases.
  • Implement rigorous testing and validation pipelines to ensure model accuracy and safety.
  • Collaborate with product managers to define AI requirements and feature sets.
  • Conduct code reviews and mentor junior engineers on best practices in machine learning.
  • Stay ahead of industry trends, including Multimodal AI and Edge Computing.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of experience in Machine Learning or Artificial Intelligence development.
  • Strong proficiency in Python, SQL, and distributed computing frameworks.
  • Proven track record of deploying production-grade ML models.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to communicate complex technical concepts.

Required Skills

Python Machine Learning PyTorch TensorFlow Large Language Models AWS GCP Cloud Architecture Deep Learning Data Science

Ready to Take This Challenge?

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