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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Vision

Nebula Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the development of our proprietary 2026-era predictive models. You will be responsible for designing the core infrastructure that powers our next generation of autonomous agents. This is not just a job; it is a mission to define the future of intelligent computing in the rapidly evolving landscape of 2026.

As a key member of our elite R&D team, you will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are scalable, secure, and ahead of the curve.

Responsibilities

  • Design & Architecture: Spearhead the architectural design of next-generation neural networks and deep learning systems aligned with the 2026 roadmap.
  • R&D Leadership: Lead research initiatives in Generative AI, Large Language Models (LLMs), and reinforcement learning to push the boundaries of what is possible.
  • Optimization: Optimize deep learning models for low-latency, high-throughput edge deployment and cloud environments.
  • Mentorship: Mentor a high-performing team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaboration: Partner with cross-functional product teams to translate futuristic concepts into deployable, scalable software solutions.
  • Strategic Planning: Define the technical vision and best practices for AI engineering within the organization.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: Proven track record of delivering production-grade AI solutions (5+ years of experience).
  • Technical Stack: Deep expertise in Python, PyTorch, and TensorFlow.
  • Cloud & MLOps: Strong experience with cloud infrastructure (AWS/GCP/Azure) and MLOps pipelines (Kubeflow, MLflow).
  • AI Specialization: Deep understanding of Generative AI, Computer Vision, or Natural Language Processing.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-stakes environments.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning AI MLOps AWS Cloud Architecture NLP Generative AI

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