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Senior AI Architect - Project 2026

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 220.000 – USD 300.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

We are on the cusp of a technological renaissance. At Quantum Leap Technologies, we are building the infrastructure for the next era of intelligence through Project 2026. Our mission is to revolutionize computational capabilities using next-gen AI and quantum algorithms.

We are seeking a visionary Senior AI Architect to lead the design and implementation of our core neural frameworks. You will work alongside top-tier engineers to build scalable, secure, and efficient systems that define the standards for the future.

If you are passionate about pushing the boundaries of what is possible in artificial intelligence and have a knack for solving complex architectural challenges, we want to hear from you.

Responsibilities

  • Architect and design scalable AI infrastructure for Project 2026, ensuring high availability and performance.
  • Lead the development of proprietary machine learning models and deep learning frameworks.
  • Collaborate with cross-functional teams to integrate AI solutions into broader software ecosystems.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize algorithms for speed and efficiency, reducing latency in high-volume data processing.
  • Stay abreast of the latest advancements in quantum computing and AI research to drive innovation.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related field with a focus on AI/ML.
  • 7+ years of professional experience in software engineering, with at least 3 years in AI architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Experience with distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Strong understanding of quantum computing concepts and their application to modern problems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Distributed Systems Cloud Architecture Docker Kubernetes AWS GCP

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