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Strategic AI Architect (2026 Horizon)

Chronos Future Systems
Seattle
Estimated Salary
USD 190.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the Architects of Tomorrow.

Chronos Future Systems is seeking a visionary Strategic AI Architect to lead our R&D division into the next decade. We are not just building software for today; we are defining the infrastructure for the 2026 technology landscape. You will be at the forefront of integrating quantum-ready algorithms with neural networks to solve problems that don't yet exist.

In this elite role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our systems are resilient, future-proof, and ethically sound.

Responsibilities

  • Design Future-Proof Architectures: Architect scalable AI frameworks capable of evolving beyond current LLM limitations by 2026.
  • Quantum Integration: Develop hybrid models that prepare legacy systems for the post-quantum computing era.
  • Strategic Roadmapping: Collaborate with C-suite executives to define 3-5 year AI roadmaps and technology adoption strategies.
  • High-Performance Computing: Optimize deep learning pipelines for edge computing and massive distributed data clusters.
  • Ethical AI Governance: Implement rigorous safety protocols and bias mitigation strategies for autonomous decision-making systems.
  • Team Leadership: Mentor a team of top-tier engineers and researchers in advanced machine learning techniques.

Qualifications

  • Education: Master’s or PhD in Computer Science, Computational Physics, or a related field.
  • Experience: 7+ years of experience in AI/ML architecture, with at least 2 years leading high-impact technical teams.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Future-Readiness: Demonstrated experience in researching and implementing next-gen technologies (e.g., neuromorphic computing, large language models).
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
  • Certifications: Professional AI certification (e.g., Google Professional ML Engineer) is a plus.

Required Skills

Python Machine Learning Deep Learning Neural Networks Kubernetes Cloud Architecture Quantum Computing AI Ethics System Design

Ready to Take This Challenge?

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