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Lead AI Architect: The 2026 Horizon Initiative

Stellar Dynamics
Seattle
Estimated Salary
USD 170.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The year 2026 represents a pivotal turning point in human-machine integration. Stellar Dynamics is building the foundational infrastructure for the next decade, and we are seeking a visionary Lead AI Architect to spearhead our core systems. This is not just a job; it is a mission to redefine the technological landscape of the 2026 era. You will be responsible for designing scalable, high-performance AI ecosystems that will power our global platform. If you thrive on complexity and want to leave a lasting legacy in the tech world, we want to hear from you.

Responsibilities

  • Define the technical vision and architectural strategy for the 2026 Horizon AI roadmap.
  • Lead a team of senior engineers and data scientists in deploying next-generation neural networks.
  • Optimize existing AI infrastructure to handle projected 2026 scale requirements.
  • Collaborate with cross-functional teams to integrate AI solutions into broader product ecosystems.
  • Establish best practices for model deployment, monitoring, and ethical AI usage.
  • Conduct rigorous code reviews and mentor junior developers to ensure code quality and innovation.
  • Identify emerging technologies and trends to keep Stellar Dynamics at the forefront of the 2026 tech wave.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering and machine learning architecture.
  • Proven track record of leading large-scale AI projects from concept to production.
  • Deep expertise in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
  • Experience with MLOps and deploying models in high-availability environments.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python C++ Deep Learning Machine Learning Distributed Systems Cloud Architecture MLOps System Design AI Ethics

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