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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: 2026 AI & Quantum Vision

Chronos Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the technological landscape of tomorrow? Chronos Horizon is at the forefront of defining the 2026 vision for global computing. We are looking for a visionary Lead Architect: 2026 AI & Quantum Vision to spearhead our next-generation infrastructure projects.

In this pivotal role, you will bridge the gap between theoretical innovation and practical implementation. You will lead a team of elite engineers in building scalable systems that leverage Generative AI and Quantum-ready architectures. If you are driven by the challenge of shaping the future and possess an unparalleled technical acumen, we want to hear from you.

Responsibilities

  • Define and execute the long-term technical roadmap for the 2026 vision, focusing on AI integration and quantum readiness.
  • Lead the architectural design of high-scale, distributed systems capable of processing petabytes of real-time data.
  • Oversee the research and deployment of advanced Machine Learning models, including LLMs and predictive algorithms.
  • Mentor senior engineering teams, fostering a culture of innovation, code excellence, and continuous learning.
  • Collaborate with cross-functional stakeholders (Product, Design, Strategy) to translate futuristic concepts into viable product roadmaps.
  • Ensure system reliability, security, and scalability across all cloud environments.
  • Drive technical decision-making regarding emerging technologies and stack modernization.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years in a senior leadership role.
  • Proven expertise in AI/ML, specifically in designing scalable machine learning pipelines and large language model (LLM) integration.
  • Deep understanding of cloud infrastructure (AWS, Azure, or Google Cloud) and containerization technologies (Kubernetes, Docker).
  • Strong grasp of quantum computing principles and their potential applications in current software architecture.
  • Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to lead diverse, high-performing engineering teams in fast-paced environments.

Required Skills

Artificial Intelligence Machine Learning Cloud Architecture Kubernetes Docker Python System Design Quantum Computing Leadership

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