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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026 - San Francisco, CA

Apex Innovations
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead Project 2026, our next-generation initiative designed to integrate artificial intelligence with quantum computing to solve humanity's most complex problems.

In this high-impact role, you will define the technical roadmap for a platform that will redefine efficiency and scalability in the enterprise sector. You will work with a world-class team of engineers, data scientists, and futurists to build systems that are not just functional, but revolutionary. This is an opportunity to shape the technological landscape of the future.

Responsibilities

  • Design and implement the core architecture for Project 2026, ensuring high availability, security, and scalability.
  • Lead the research and development of hybrid quantum-classical algorithms to optimize performance.
  • Collaborate with cross-functional teams to translate business requirements into technical specifications.
  • Mentor junior developers and conduct rigorous code reviews to maintain high engineering standards.
  • Stay ahead of industry trends, specifically in AI, Machine Learning, and Quantum Computing.
  • Drive technical decision-making and establish best practices for distributed systems.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in AI/ML or Quantum Computing.
  • Proven experience leading large-scale distributed systems in high-pressure environments.
  • Strong proficiency in Python, C++, and Rust.
  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • PhD or Master’s degree in Computer Science, Physics, or a related field.
  • Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Quantum Computing TensorFlow PyTorch AWS GCP Docker Kubernetes Machine Learning Distributed Systems

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