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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Visionary

QuantumCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

The Future of Intelligence Starts Here

We are QuantumCore Systems, a pioneer in next-generation generative AI and neural architectures. As we prepare for the technological landscape of 2026, we are seeking a visionary Senior AI Architect to lead our research and engineering initiatives. You will be responsible for designing the foundational models that will power the next decade of human-machine interaction.

Why Join Us?

  • Work at the intersection of Quantum Computing and Artificial Intelligence.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with quarterly global meetups.
  • Access to cutting-edge hardware for model training.

Are you ready to architect the future? Apply today.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure capable of handling exabyte-scale data processing.
  • Lead the research and development of proprietary Large Language Models (LLMs) optimized for enterprise deployment.
  • Define the technical roadmap for AI integration across QuantumCore's product suite.
  • Collaborate with cross-functional teams to translate complex business requirements into advanced machine learning solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
  • Ensure the ethical and safe deployment of AI models, adhering to global compliance standards.
  • Optimize model inference speeds to reduce latency in real-time applications.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field (with a focus on AI/ML).
  • Minimum of 7 years of experience in designing and deploying large-scale machine learning systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with MLOps pipelines, model versioning, and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of leading technical projects from conception to production release.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Architecture MLOps Cloud Computing Kubernetes Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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