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Senior AI Architect (2026 Vision)

Quantum Dynamics Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Quantum Dynamics Inc. is pioneering the next era of Artificial General Intelligence (AGI) and is seeking a visionary Senior AI Architect to lead our research and development initiatives.

In this high-impact role, you will not just be writing code; you will be defining the technical roadmap for autonomous systems that will define the landscape of 2026 and beyond. You will collaborate with world-class researchers and engineers to build scalable, ethical, and robust AI models capable of transforming industries.

Why join us? We offer competitive equity, a top-tier benefits package, and the unique opportunity to work at the forefront of technological innovation. If you are passionate about the future of AI and want to leave a lasting legacy, we want to hear from you.

Responsibilities

  • Design and implement scalable, high-performance AI architectures for next-generation autonomous systems.
  • Lead research initiatives in Large Language Models (LLMs), multimodal AI, and generative adversarial networks.
  • Optimize model performance for real-time inference and edge computing environments.
  • Establish best practices for MLOps, model governance, and responsible AI deployment.
  • Collaborate with product and engineering teams to translate research into production-ready solutions.
  • Mentor junior engineers and conduct rigorous technical reviews to maintain code quality.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning.
  • Proven experience deploying and scaling AI models in cloud environments (AWS, GCP, or Azure).
  • Strong problem-solving skills with a focus on ethical AI and bias mitigation.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP AI Architecture AGI Generative AI

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