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Lead AI Architect (Class of 2026)

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

Job Description

Are you ready to architect the future of intelligence?

Nebula Dynamics is seeking a visionary Lead AI Architect to define the roadmap for our upcoming 2026 product line. We are not just building models; we are engineering the next generation of sentient computing systems designed to redefine human-machine interaction. If you have a passion for pushing the boundaries of Generative AI, Large Language Models, and Neural Architecture Search, this is your opportunity to lead a world-class team.

As a key member of our R&D division, you will bridge the gap between theoretical research and scalable production systems, ensuring our technology remains ahead of the curve in the rapidly evolving landscape of Artificial General Intelligence.

Responsibilities

  • Design and implement scalable AI infrastructure capable of supporting next-generation neural networks.
  • Lead the research and development of proprietary Large Language Models (LLMs) optimized for 2026 standards.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate technical requirements into architectural solutions.
  • Mentor senior engineers and foster a culture of innovation and technical excellence within the team.
  • Oversee model training, fine-tuning, and deployment pipelines using MLOps best practices.
  • Stay abreast of cutting-edge advancements in AI research to integrate breakthrough technologies into our core stack.
  • Define technical strategy and roadmap for AI initiatives, ensuring alignment with business objectives.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
  • Proven expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) and Large Language Model architecture.
  • Experience designing high-throughput, low-latency systems for large-scale data processing.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.
  • Demonstrated track record of shipping innovative products in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow MLOps NLP LLMs Deep Learning Machine Learning Architecture AWS Kubernetes Docker

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