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Lead Synthetic Intelligence Architect

Chronos Future Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the Architects of 2026.

Chronos Future Systems is at the forefront of the synthetic intelligence revolution. We are not just building AI; we are architecting the ethical, scalable, and sentient frameworks that will define the next decade. If you have a vision for the future of machine cognition and want to lead a team of top-tier engineers, this is your opportunity.

In this pivotal role, you will bridge the gap between theoretical AGI concepts and practical deployment. You will design the neural pathways of tomorrow, ensuring our systems are robust, secure, and aligned with human values.

Responsibilities

  • Architect and design scalable synthetic intelligence systems capable of handling complex, multi-modal data streams.
  • Lead the research and development of next-generation neural network architectures focused on autonomous decision-making.
  • Define and implement robust ethical guidelines and safety protocols for autonomous agents.
  • Collaborate with cross-functional teams, including quantum computing experts and data scientists, to integrate hybrid systems.
  • Mentor and guide a high-performing engineering team, fostering a culture of innovation and technical excellence.
  • Conduct rigorous testing and validation to ensure system integrity and prevent hallucination loops.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field, with a focus on Machine Learning.
  • Minimum of 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of deploying production-grade AI models at scale.
  • Strong understanding of cognitive science principles and human-computer interaction.
  • Exceptional leadership skills with experience managing technical teams in a fast-paced environment.

Required Skills

Python TensorFlow PyTorch Neural Networks Machine Learning AI Architecture Distributed Systems Cloud Computing Kubernetes Ethical AI Leadership

Ready to Take This Challenge?

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