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Information Technology 🏒 Full Time ⭐️ Verified

Strategic AI Architect (2026 Roadmap)

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are pioneering the digital frontier for the year 2026. Nebula Systems is seeking a visionary Strategic AI Architect to lead our high-impact research and development division. This role requires a unique blend of technical expertise in deep learning and the foresight to design infrastructure that will dominate the next era of the web.

In this position, you will bridge the gap between theoretical future-tech and practical application, ensuring our solutions are scalable, ethical, and robust enough for the demands of 2026 and beyond. You will be at the helm of our next-generation initiatives, shaping the core technologies that define our market leadership.

Responsibilities

  • Architect Future-Proof Systems: Design and oversee the implementation of scalable AI infrastructure aligned with the 2026 technological roadmap.
  • Lead R&D Initiatives: Spearhead research projects in generative AI, neural networks, and next-gen web protocols.
  • Strategic Vision: Define the long-term technical vision and translate it into actionable engineering strategies for cross-functional teams.
  • Ethical AI Governance: Establish frameworks for responsible AI usage, ensuring compliance with emerging global standards.
  • Team Mentorship: Cultivate a high-performance engineering culture, mentoring senior engineers and architects.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of progressive experience in software architecture, with at least 3 years specifically in AI/ML leadership roles.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Future-Tech Knowledge: Proven experience with Large Language Models (LLMs) and predictive analytics.
  • Leadership: Demonstrated ability to lead large-scale engineering teams and manage complex projects from conception to deployment.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Deep Learning Leadership R&D Cloud Computing

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