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Information Technology 🏒 Full Time ⭐️ Verified

Chief Architect: 2026 Vision (AI & Quantum)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a Chief Architect with a vision for 2026 to lead our next generation of technological infrastructure. As the landscape of technology accelerates, our goal is to build systems that are not just advanced today, but resilient and innovative for the future. If you thrive on solving complex problems and defining the roadmap for emerging technologies, this is your opportunity to shape the future.

In this role, you will define the 2026 technology strategy, bridging the gap between theoretical innovation and practical application. You will lead a team of elite engineers in deploying next-gen AI models and quantum-ready architectures.

Responsibilities

  • Define the 2026 Technology Roadmap: Create a comprehensive vision for the next three years, aligning technical capabilities with business objectives.
  • Lead AI & Quantum Integration: Spearhead the integration of cutting-edge artificial intelligence and quantum computing solutions into core business processes.
  • Architect Scalable Systems: Design and oversee the implementation of robust, scalable infrastructure capable of handling massive data loads.
  • Future-Proofing: Identify emerging trends and technologies (e.g., AGI, Edge Computing) and develop strategies to leverage them before competitors.
  • Team Leadership: Mentor senior engineering staff, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Work closely with product, operations, and executive leadership to translate technical insights into business value.

Qualifications

  • Strategic Vision: 10+ years of experience in software architecture with a proven track record of leading large-scale technical transformations.
  • Technical Expertise: Deep knowledge of Machine Learning, Deep Learning, and Quantum Computing fundamentals.
  • Leadership Skills: Demonstrated ability to lead diverse, high-performing engineering teams in a fast-paced environment.
  • Problem Solving: Exceptional analytical skills with the ability to deconstruct complex problems into actionable technical strategies.
  • Education: Master’s degree or PhD in Computer Science, Engineering, or a related field.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex concepts to non-technical stakeholders.

Required Skills

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

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