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Senior AI Architect: Year 2026 Horizon

Chronos Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are not merely building software for today; we are engineering the infrastructure for the post-singularity era. As we approach the pivotal year of 2026, our mission is to integrate advanced Artificial Intelligence with next-generation quantum computing protocols to solve humanity's most complex challenges.

We are seeking a visionary Senior AI Architect to lead this transformation. You will define the architectural standards for our future-ready systems, ensuring our models are scalable, ethically sound, and capable of operating in a quantum-enhanced environment.

Join us in shaping the trajectory of human-machine evolution and securing a smarter future.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable, self-evolving neural architectures that align with 2026 technological standards.
  • Quantum-Neural Integration: Lead the research and integration of hybrid classical and quantum machine learning models.
  • Ethical AI Oversight: Establish and enforce rigorous guidelines for AI alignment, bias mitigation, and transparency in automated decision-making.
  • System Optimization: Oversee the migration of legacy systems to next-gen cloud infrastructure, ensuring zero-latency data processing.
  • Technical Leadership: Mentor a team of top-tier engineers and researchers, fostering a culture of innovation and continuous learning.
  • Strategic Roadmapping: Collaborate with C-level executives to define the technical roadmap for the next decade of AI development.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Physics, or a related technical field.
  • Experience: 8+ years of professional experience in machine learning engineering, software architecture, or systems design.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud-native frameworks (Kubernetes, Docker).
  • Quantum Knowledge: Familiarity with quantum computing concepts, frameworks (Qiskit, Cirq), or quantum algorithms is highly preferred.
  • Leadership: Proven track record of leading high-performance engineering teams and delivering complex projects on time.
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.

Required Skills

Python PyTorch TensorFlow Kubernetes Quantum Computing Machine Learning System Design Cloud Architecture AI Ethics Leadership

Ready to Take This Challenge?

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