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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap Initiative

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the next frontier of technology at Quantum Horizon Labs, and we are seeking a visionary Lead AI Architect to define our strategic roadmap for 2026.

In this pivotal role, you will be at the helm of designing the neural architecture that will power our next-generation enterprise solutions. You will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are scalable, secure, and cutting-edge. This is a rare opportunity to shape the future of artificial intelligence in a dynamic, high-growth environment.

Responsibilities

  • Define and execute the technical roadmap for the 2026 AI product suite, ensuring alignment with business objectives.
  • Architect scalable, fault-tolerant machine learning systems and distributed computing environments.
  • Lead a cross-functional team of data scientists, ML engineers, and researchers to drive innovation.
  • Establish best practices for model training, deployment, and MLOps pipelines.
  • Conduct deep-dive research into emerging AI paradigms to stay ahead of industry trends.
  • Collaborate with stakeholders to translate complex technical requirements into actionable development plans.
  • Drive the integration of Generative AI technologies into core product offerings.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in AI and Machine Learning.
  • Proven track record of leading high-impact engineering teams and managing complex technical projects.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Strong understanding of Large Language Models (LLMs), NLP, and Generative AI architectures.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization technologies.

Required Skills

Machine Learning AI Architecture Python TensorFlow Leadership MLOps Distributed Systems Generative AI

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