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Senior AI Architect – 2026 Roadmap

Quantum Horizon Inc.
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join us in defining the technological landscape of tomorrow. Quantum Horizon Inc. is seeking a visionary Senior AI Architect to lead the research and development of the 2026 Ecosystem. In this pivotal role, you will architect scalable, ethical, and groundbreaking artificial intelligence systems designed to bridge the gap between current capabilities and future possibilities.

We are looking for a thought leader who is not just proficient in existing technologies but is actively shaping the future of Machine Learning, Neural Networks, and Human-Computer Interaction.

Responsibilities

  • Architect and deploy next-generation Large Language Models (LLMs) optimized for 2026 infrastructure and latency requirements.
  • Lead the research and implementation of Quantum-AI hybrid algorithms to solve complex, unsolved problems.
  • Mentor a high-performing team of data scientists and machine learning engineers, fostering a culture of innovation.
  • Collaborate closely with product and engineering teams to translate complex technical roadmaps into market-ready features.
  • Ensure all AI models adhere to strict data privacy, security, and ethical AI compliance standards.
  • Present research findings and architectural decisions at top-tier global conferences and internal leadership forums.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of hands-on experience in Deep Learning, NLP, or Reinforcement Learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA programming.
  • Proven track record of publishing in high-impact AI journals or conferences (NeurIPS, ICML, ICLR).
  • Strong leadership skills with experience managing cross-functional teams and technical projects.
  • Experience with large-scale cloud infrastructure (AWS, GCP, Azure) and edge computing environments.

Required Skills

Python PyTorch Deep Learning NLP Machine Learning AI Architecture Cloud Computing Leadership TensorFlow CUDA Reinforcement Learning

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