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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Nebula Core Systems
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of technology?

Nebula Core Systems is pioneering the next generation of artificial intelligence, specifically tailored for the 2026 technological landscape. We are seeking a visionary Lead AI Architect to lead our research and development division. If you are passionate about pushing the boundaries of what is possible with neural networks, quantum-inspired algorithms, and edge computing, we want to meet you.

In this role, you will not just write code; you will architect the brain of our next-generation ecosystem. You will work in a collaborative environment that values innovation, speed, and precision.

Responsibilities

  • Design and implement scalable, high-performance AI architectures aligned with the 2026 product roadmap.
  • Lead a team of elite data scientists and machine learning engineers to optimize deep learning models.
  • Research and integrate emerging technologies, including neuromorphic computing and advanced reinforcement learning.
  • Establish best practices for model training, validation, and deployment in production environments.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Ensure system scalability, reliability, and security across all AI infrastructure.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Physics, or a related field.
  • Minimum of 7 years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Extensive experience with Python, TensorFlow, PyTorch, and CUDA.
  • Proven track record of leading technical teams and driving architectural decisions.
  • Strong understanding of neural network theory, optimization algorithms, and large language models.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch AI Architecture Neural Networks Cloud Computing Leadership CUDA

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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