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Information Technology 🏒 Full Time ⭐️ Verified

Senior Future-Ready AI Architect

Nebula 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to architect the technological landscape of 2026 and beyond? Nebula 2026 Labs is seeking a visionary Senior AI Architect to lead the charge in developing next-generation artificial intelligence systems. We are not just predicting the future; we are building it. In this pivotal role, you will define the architectural standards for our proprietary neural networks and quantum-computing interfaces.

Our mission is to bridge the gap between today's capabilities and tomorrow's possibilities. You will work in a dynamic, high-performance environment alongside elite engineers and data scientists. If you possess an innate curiosity about the trajectory of technology and a drive to solve unsolvable problems, this is your calling.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable, robust AI infrastructure capable of handling next-generation data loads.
  • Research & Development: Spearhead research into emerging AI paradigms, including generative models and predictive algorithms.
  • System Integration: Integrate complex AI systems with legacy infrastructure, ensuring seamless interoperability and security.
  • Team Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Strategic Planning: Collaborate with C-level executives to align technical roadmaps with long-term business objectives.
  • Performance Optimization: Continuously refine algorithms to maximize efficiency and minimize latency in real-time processing.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, C++, and Rust. Deep knowledge of TensorFlow, PyTorch, and cloud-native architectures (AWS/Azure/GCP).
  • Problem Solving: Proven track record of solving complex, ambiguous technical challenges with innovative solutions.
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for diverse stakeholders.
  • Future-Forward Mindset: Demonstrated interest in emerging technologies, including quantum computing and neuromorphic engineering.

Required Skills

Python Machine Learning Cloud Architecture Neural Networks TensorFlow PyTorch C++ System Design Leadership

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