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Chief AI Architect (2026 Vision) - San Francisco

Aether Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on the brink of a technological singularity. As Aether Systems prepares for its 2026 roadmap, we are seeking a visionary Chief AI Architect to define the future of human-computer interaction and autonomous systems. You will be at the helm of our Global Neural Grid initiative, responsible for architecting the algorithms that will power the next decade of innovation.

If you are passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and Quantum Computing integration, we want to meet you.

Responsibilities

  • Define and execute the long-term AI architectural vision for the 2026 product roadmap, ensuring scalability and ethical compliance.
  • Lead the integration of advanced machine learning models with next-generation quantum hardware infrastructure.
  • Oversee the design of autonomous decision-making systems for complex global logistics and network management.
  • Mentor a world-class team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional stakeholders—including product, legal, and UX teams—to translate technical capabilities into user-centric solutions.
  • Establish and maintain the company's standards for AI safety, security, and ethical governance.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • 10+ years of experience in software engineering and machine learning, with at least 3 years in a senior leadership or architectural role.
  • Deep expertise in deep learning frameworks (TensorFlow, PyTorch) and distributed systems architecture.
  • Proven track record of leading high-stakes projects from conception to deployment at scale.
  • Exceptional strategic thinking skills with the ability to navigate ambiguity and drive technical direction.
  • Strong communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks System Architecture Leadership Python TensorFlow Distributed Systems Ethics in AI

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