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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nebula AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are not just building software; we are architecting the foundation for the technological landscape of 2026 and beyond. Nebula AI Systems is seeking a visionary Lead AI Architect to spearhead our next-generation neural infrastructure.

In this pivotal role, you will define the technical roadmap for our flagship products, ensuring they are scalable, secure, and at the forefront of artificial intelligence innovation. You will lead a team of elite engineers, guiding them through complex challenges to deliver solutions that redefine industry standards.

If you are passionate about the future of technology and want to build the systems that will power the next decade, we want to hear from you.

Responsibilities

  • Architect Future-Ready Systems: Design and implement scalable AI infrastructure tailored to meet the rigorous demands of the 2026 tech ecosystem.
  • Lead R&D Initiatives: Spearhead research and development projects focused on cutting-edge machine learning and generative AI models.
  • Talent Development: Mentor junior engineers and senior staff alike, fostering a culture of technical excellence, innovation, and continuous learning.
  • Strategic Collaboration: Work closely with product managers and stakeholders to translate business goals into robust technical solutions.
  • System Optimization: Oversee the deployment and optimization of models to ensure maximum performance and efficiency.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Experience: Minimum of 8 years of experience in software engineering, with at least 4 years in a leadership or architect role within the AI/ML space.
  • Technical Mastery: Deep expertise in deep learning frameworks (TensorFlow, PyTorch, JAX) and high-performance computing (HPC).
  • Programming: Strong proficiency in Python, Rust, and modern cloud-native technologies (AWS, GCP, Azure).
  • Problem Solving: Proven track record of solving complex, large-scale technical problems and driving architectural decisions.

Required Skills

Artificial Intelligence Machine Learning System Architecture Deep Learning Python Rust Cloud Computing TensorFlow PyTorch AWS Leadership

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