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Lead AI Architect (2026 Roadmap)

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

Job Description

We are seeking a visionary Lead AI Architect to define the technical roadmap for 2026. In this pivotal role, you will lead the charge in developing the next generation of Artificial General Intelligence (AGI) systems.

At Nexus Future Systems, we are not just predicting the future; we are building it. You will work on cutting-edge projects that push the boundaries of machine learning, ensuring our solutions are scalable, ethical, and industry-leading. If you are passionate about the future of AI and want to shape the standards for the next decade, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI infrastructures aligned with the 2026 strategic roadmap.
  • Model Development: Spearhead the research and development of advanced Large Language Models (LLMs) and generative AI systems.
  • Team Mentorship: Guide a team of senior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Technical Strategy: Collaborate with C-suite executives to translate business goals into technical roadmaps and agile development cycles.
  • MLOps & Governance: Establish robust MLOps pipelines and enforce strict ethical AI and data governance standards.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a senior architectural or lead role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Ray, Kubernetes).
  • AI Expertise: Deep understanding of transformer architectures, NLP, and reinforcement learning.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.

Required Skills

Python Machine Learning Deep Learning MLOps AI Architecture PyTorch TensorFlow NLP Generative AI Leadership

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