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Information Technology 🏒 Full Time ⭐️ Verified

Chief Architect, Next-Gen AI & Quantum Engineering

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Innovations is seeking a visionary Chief Architect to lead our cutting-edge research in Artificial Intelligence and Quantum Computing. In this pivotal role, you will translate high-level business requirements into robust technical roadmaps, driving innovation that will set industry standards for the future.

We are not just building software; we are architecting the future. You will work in a collaborative environment with world-class engineers, data scientists, and product leaders. If you have a passion for pushing the boundaries of what is possible and a knack for leading complex technical initiatives, we want to hear from you.

Responsibilities

  • Define and execute the long-term technical strategy for AI and Quantum product lines, ensuring alignment with the 2026 vision.
  • Architect scalable, high-performance systems capable of handling next-generation computational loads.
  • Lead a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional stakeholders to translate business goals into actionable technical roadmaps.
  • Stay ahead of emerging technologies (LLMs, Quantum Hardware, Edge AI) and evaluate their applicability to our products.
  • Drive best practices in code quality, security, and system scalability across the organization.

Qualifications

  • 10+ years of experience in software engineering and architecture, with at least 5 years in leadership roles.
  • Deep expertise in Artificial Intelligence, Machine Learning, and preferably Quantum Computing principles.
  • Proven track record of delivering complex, large-scale systems in a fast-paced environment.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Leadership Machine Learning Cloud Infrastructure Python C++ Strategic Planning

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