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Senior AI Architect (2026 Vision)

QuantumCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to join our elite team in San Francisco. As we prepare to launch our revolutionary generative AI platform for the 2026 market, we need a technical leader who can bridge the gap between theoretical machine learning and scalable production infrastructure.

In this role, you will define the architectural standards for our next-generation neural networks, ensuring they are secure, efficient, and capable of handling billions of queries. If you are passionate about shaping the future of technology and want to work on cutting-edge solutions that define the 2026 era, we want to hear from you.

Responsibilities

  • Architect and deploy scalable AI/ML models that power the 2026 platform infrastructure.
  • Lead the design of distributed systems capable of handling real-time data ingestion at massive scale.
  • Collaborate with data scientists and engineering teams to translate research prototypes into production-ready software.
  • Implement rigorous testing and validation protocols to ensure model accuracy and ethical AI compliance.
  • Mentor junior engineers and establish best practices for code quality and system architecture.
  • Optimize database queries and cloud infrastructure to reduce latency and improve user experience.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in software engineering with a focus on Machine Learning or Artificial Intelligence.
  • Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Deep understanding of distributed computing, microservices architecture, and cloud platforms (AWS/GCP).
  • Strong problem-solving skills with a proven track record of delivering complex technical projects on time.
  • Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Distributed Systems AWS GCP PyTorch TensorFlow System Architecture

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