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Senior AI Architect (Year 2026 Initiative)

Chronos Future 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 building for tomorrow; we are architecting the world of 2026. As a Senior AI Architect for our flagship initiative, you will lead the technical vision for next-generation artificial intelligence systems designed to redefine human-machine interaction. You will be responsible for designing scalable, secure, and ethically sound AI infrastructure that powers our products for the decade ahead.

Why Join Us?
We are a frontier tech company seeking visionaries to solve humanity's most complex challenges through advanced technology. You will have the autonomy to design from the ground up, with access to top-tier compute resources and a team of world-class engineers.

Responsibilities

  • Architectural Vision: Lead the end-to-end design of AI systems, including large language models, neural networks, and edge computing solutions for the Year 2026 roadmap.
  • Scalability & Performance: Design infrastructure capable of handling exabyte-scale data processing with sub-millisecond latency.
  • Technical Strategy: Define the technical stack and coding standards, ensuring seamless integration with existing legacy systems.
  • AI Ethics & Safety: Implement guardrails and ethical frameworks to ensure AI outputs are unbiased, transparent, and safe.
  • Collaboration: Partner with product managers and data scientists to translate business requirements into robust technical architectures.
  • Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
  • Experience: 10+ years of professional software engineering experience, with at least 5 years in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks; proficiency in distributed systems (Kubernetes, Docker).
  • Cloud Mastery: Extensive experience deploying and managing large-scale systems on AWS, GCP, or Azure.
  • Problem Solving: Proven ability to tackle ambiguous problems and deliver innovative solutions in a fast-paced environment.
  • Communication: Exceptional verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning Software Architecture Python TensorFlow AWS GCP Kubernetes Data Engineering Neural Networks

Ready to Take This Challenge?

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