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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Chronos Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are not just predicting the future; we are building it. At Chronos Systems, we are on a mission to engineer the technological milestones of 2026. We are seeking a visionary Senior AI Architect to lead our core infrastructure, designing the neural networks and autonomous systems that will define the next decade of human advancement.


You will work at the intersection of advanced machine learning, quantum-ready architecture, and scalable cloud infrastructure. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the tech landscape of 2026, we want to hear from you.

Responsibilities

  • Architect Scalable Systems: Design and implement cutting-edge AI infrastructure optimized for the demands of the year 2026, including high-frequency trading algorithms and predictive modeling.
  • Lead Research Initiatives: Spearhead research into Generative AI and Reinforcement Learning to drive product innovation and competitive advantage.
  • Optimize Performance: Engineer high-performance codebases capable of processing petabytes of data in real-time with zero latency.
  • Technical Mentorship: Guide and mentor a team of top-tier engineers, fostering a culture of continuous learning and technical excellence.
  • Strategic Planning: Define the technical roadmap for our AI division, aligning engineering efforts with long-term business goals.
  • Collaborate Across Disciplines: Work closely with product managers, designers, and data scientists to translate complex requirements into robust technical solutions.

Qualifications

  • Experience: Minimum of 8 years of professional experience in software engineering, with at least 5 years specifically in Artificial Intelligence and Machine Learning.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • Technical Stack: Deep proficiency in Python, C++, and TensorFlow/PyTorch. Experience with Kubernetes and AWS is essential.
  • Problem Solving: Proven track record of solving complex, unstructured problems in high-pressure environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Future-Ready Mindset: Passionate about emerging technologies, including Quantum Computing and Edge AI.

Required Skills

Artificial Intelligence Machine Learning Python C++ TensorFlow PyTorch Cloud Architecture Kubernetes AWS Quantum Computing Neural Networks

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