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Information Technology 🏒 Full Time ⭐️ Verified

2026 Horizon: Chief Technology Architect

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? Quantum Leap Innovations is seeking a visionary Chief Technology Architect to lead our R&D initiatives for the 2026 Horizon. We are building the next generation of cognitive computing systems, and we need a leader who can bridge the gap between theoretical breakthroughs and scalable production environments.

In this high-impact role, you will define the technical roadmap for the next five years, ensuring our platforms remain at the cutting edge of artificial intelligence and quantum-ready cloud infrastructure. Join a team of elite engineers and data scientists working to solve humanity's most complex challenges.

Responsibilities

  • Define and execute the 2026 Technical Roadmap for AI and quantum computing integration.
  • Lead the architecture of large-scale, distributed systems handling petabytes of data.
  • Mentor senior engineering teams and foster a culture of innovation and technical excellence.
  • Collaborate with product leadership to translate abstract concepts into concrete technical solutions.
  • Oversee system security, scalability, and performance optimization for global deployments.
  • Stay ahead of industry trends, including neural interfaces and edge computing.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 10 years of experience in software architecture, with at least 5 years in AI/ML infrastructure.
  • Proven experience leading cross-functional teams in high-growth tech environments.
  • Expert proficiency in Python, Java, or C++ with deep knowledge of machine learning frameworks (TensorFlow, PyTorch).
  • Strong understanding of cloud architecture (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow AWS Kubernetes System Architecture Machine Learning Leadership Cloud Computing

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