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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the 2026 Era of Intelligence and are seeking a visionary Lead AI Architect 2026 to architect our next-generation neural infrastructure. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms remain at the cutting edge of the industry.

Why Join Us?
We are a remote-first collective of futurists, engineers, and strategists building the software stack for the year 2026 and beyond. You will have autonomy, a massive budget for R&D, and the opportunity to define standards for the next decade.

Responsibilities

  • Architect and oversee the development of next-generation AI systems, focusing on Generative AI and Quantum-ready algorithms.
  • Lead a cross-functional team of data scientists and engineers to deliver high-impact AI solutions.
  • Define technical roadmaps for AI infrastructure, ensuring scalability, security, and performance.
  • Collaborate with product leadership to translate business goals into technical AI strategies.
  • Mentor junior engineers and establish best practices for AI model deployment and monitoring.
  • Evaluate emerging technologies (e.g., Neuromorphic Computing) to drive innovation.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Proven track record of deploying Large Language Models (LLMs) and generative models in production environments.
  • Strong understanding of cloud platforms (AWS, GCP) and containerization technologies.
  • Experience with MLOps pipelines and model versioning.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes MLOps Machine Learning Generative AI Deep Learning

Ready to Take This Challenge?

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