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Lead AI Architect - 2026 Roadmap

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to help define the technological landscape of 2026. As a leader in our innovation lab, you will be responsible for architecting next-generation autonomous systems, integrating generative AI models, and ensuring our infrastructure scales for the demands of the future. This is not just a coding role; it is a strategic position that shapes our product roadmap for the coming decade.

Why Join Us?

  • Work on cutting-edge Generative AI and Agentic workflows.
  • Competitive compensation and equity packages.
  • Flexible remote/hybrid work culture.

Responsibilities

  • Define the technical strategy for the 2026 AI roadmap, focusing on LLMs, multi-modal AI, and edge computing.
  • Architect scalable, fault-tolerant machine learning pipelines that handle petabyte-scale data.
  • Lead a team of ML engineers and data scientists to implement state-of-the-art models.
  • Collaborate with product and design teams to translate futuristic concepts into deployable software.
  • Ensure ethical AI practices and bias mitigation in all deployed models.
  • Conduct deep-dive research into emerging technologies (e.g., Quantum AI, Neuromorphic computing) and evaluate their applicability.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 10+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of deploying large-scale AI models in production environments.
  • Strong leadership experience, with the ability to mentor engineering teams.
  • Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with GenAI tools, fine-tuning LLMs, and RAG architectures.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Kubernetes Docker System Design Generative AI LLM Natural Language Processing

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