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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Roadmap

Quantum Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the technological landscape of the future? Quantum Dynamics Inc. is seeking a visionary Senior AI Architect to lead our strategic 2026 roadmap. We are at the forefront of generative AI and predictive modeling, and we need a leader who can bridge the gap between theoretical research and scalable production systems.

In this pivotal role, you will not just build models; you will architect the infrastructure that powers our next generation of enterprise solutions. If you thrive in high-stakes environments and are passionate about pushing the boundaries of artificial intelligence, we want to meet you.

Why Join Us?

  • Work on cutting-edge projects that define the future of technology.
  • Competitive salary and equity package ($180k - $260k).
  • Flexible remote-first policy with premium San Francisco office amenities.
  • Top-tier health benefits and continuous learning budget.

Responsibilities

  • Lead the architectural design and implementation of our 2026 AI strategy, focusing on scalability and efficiency.
  • Develop and deploy state-of-the-art machine learning models, including LLMs and computer vision systems.
  • Collaborate with cross-functional teams to integrate AI solutions into core product lines.
  • Establish best practices for MLOps, model governance, and ethical AI usage.
  • Conduct research to identify emerging technologies that can be leveraged for competitive advantage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
  • Minimum of 5+ years of experience in AI/ML engineering and architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and Keras.
  • Deep understanding of MLOps pipelines, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of leading complex projects from conception to production deployment.
  • Excellent communication skills and the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch MLOps Machine Learning Artificial Intelligence Cloud Computing Docker Kubernetes AWS Leadership

Ready to Take This Challenge?

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