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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Tech Vision

Chronos Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Chronos Future Labs is seeking a visionary Senior AI Architect to spearhead our next-generation neural computing infrastructure. We are not just building software; we are architecting the intelligence layer for the future. If you possess a deep understanding of quantum algorithms and advanced machine learning paradigms, this is your opportunity to lead the charge.


Why join us?
We are at the forefront of the '2026 Tech' revolution, integrating predictive AI with real-time quantum processing. You will work in a cutting-edge environment where your work directly impacts the trajectory of global tech infrastructure.

Responsibilities

  • Architect Next-Gen Systems: Design and deploy scalable, fault-tolerant AI architectures capable of processing exabyte-scale data streams.
  • Quantum Integration: Bridge the gap between classical machine learning models and emerging quantum computing frameworks.
  • Lead R&D Initiatives: Spearhead internal research projects focused on AGI (Artificial General Intelligence) pathways.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executive leadership and product teams.
  • Security & Ethics: Implement robust ethical guidelines and security protocols to ensure responsible AI deployment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field, with a focus on AI/ML.
  • Experience: 7+ years of experience in software architecture, with a specific focus on deep learning and neural networks.
  • Technical Stack: Proficiency in Python, C++, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP).
  • Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) is highly desirable.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-pressure environments.
  • Communication: Exceptional verbal and written communication skills, with the ability to present technical data to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python C++ Cloud Architecture Quantum Computing Deep Learning System Design Neural Networks AWS

Ready to Take This Challenge?

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