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Senior AI Architect: Project 2026

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are at the precipice of the next technological singularity. Nebula Horizon Labs is seeking visionary Senior AI Architects to lead the development of Project 2026β€”a groundbreaking initiative aimed at bridging the gap between generative AI and autonomous decision-making systems. You will be working in a high-performance environment focused on the future of synthetic cognition and scalable neural networks.

As a key member of our elite R&D division, you will define the architectural blueprints for systems that will redefine human-machine interaction. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Design and architect scalable, fault-tolerant deep learning infrastructure capable of processing exabytes of data.
  • Lead the research and implementation of next-generation Large Language Models (LLMs) with enhanced reasoning capabilities.
  • Collaborate with cross-functional teams including quantum computing researchers and bio-engineers to integrate hybrid computing models.
  • Mentor junior engineers and establish best practices for model deployment, monitoring, and optimization.
  • Drive the innovation roadmap for autonomous agents and reinforcement learning systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in machine learning engineering, with at least 3 years in a senior leadership role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Ray).
  • Deep understanding of neural architecture search (NAS), transformer models, and prompt engineering.
  • Proven track record of shipping high-impact AI products to production environments.
  • Strong background in MLOps, including containerization (Docker/Kubernetes) and CI/CD pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Distributed Systems Neural Networks Cloud Architecture CUDA Kubernetes Transformer Models

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