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Senior AI & Future Tech Architect (2026)

Quantum Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are looking for a visionary Senior AI & Future Tech Architect (2026) to lead our research and development division. In this pivotal role, you will be responsible for architecting the technological infrastructure that will define the digital landscape of 2026 and beyond. You will bridge the gap between cutting-edge research and scalable production systems, ensuring our company remains at the forefront of innovation.

If you are passionate about the future of Artificial Intelligence, Quantum Computing, and Sustainable Tech, we want to hear from you. Join a team of world-class engineers and strategists dedicated to solving humanity's most complex challenges through advanced technology.

Responsibilities

  • Architect Next-Gen Systems: Design and oversee the implementation of scalable AI frameworks and quantum-ready infrastructure for 2026.
  • Strategic Roadmapping: Define long-term technology roadmaps that align with market trends and business objectives for the upcoming decade.
  • R&D Leadership: Spearhead research initiatives in Generative AI, Neural Networks, and Autonomous Systems.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate complex concepts into actionable technical solutions.
  • Optimization & Security: Ensure system reliability, data security, and high-performance computing standards across all platforms.
  • Mentorship: Guide junior architects and engineers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a senior architect or lead role.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with Cloud Native architectures (AWS, GCP).
  • Future Tech Knowledge: Deep understanding of AI trends leading up to 2026, including Large Language Models (LLMs) and edge computing.
  • Problem Solving: Exceptional ability to troubleshoot complex technical issues and innovate under pressure.
  • Communication: Excellent verbal and written communication skills, capable of presenting technical strategies to executive stakeholders.

Required Skills

AI Machine Learning Python Cloud Architecture Quantum Computing R&D System Design Leadership

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