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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Class of 2026)

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Welcome to Nexus 2026, where we are defining the technological landscape for the future. We are seeking a visionary Senior AI Architect to lead our elite engineering division. As we prepare for the transformative year of 2026, we need a technical leader who can architect scalable, intelligent systems that solve humanity's most complex challenges.

In this role, you will not just use existing tools; you will help define the frameworks of tomorrow. You will be responsible for guiding the technical strategy of our flagship AI product, ensuring that our solutions are not only state-of-the-art but ethically sound and scalable for global deployment.

Join us in building the future. This is more than a job; it is an opportunity to leave a legacy in the Class of 2026.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure and deep learning models.
  • Lead the research and development of novel AI algorithms, pushing the boundaries of Generative AI and Neural Networks.
  • Define the technical roadmap for the 2026 product suite, ensuring alignment with business goals and futuristic trends.
  • Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into production environments.
  • Ensure data security, privacy, and ethical AI practices across all projects.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in AI engineering, with a proven track record of leading technical teams.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools.
  • Deep understanding of Large Language Models (LLMs), Transformers, and Natural Language Processing.
  • Experience with distributed computing systems, cloud platforms (AWS/GCP), and containerization technologies.
  • Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Docker Kubernetes Natural Language Processing Generative AI

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