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Lead AGI Systems Architect (Class of 2026)

Aether Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of artificial general intelligence? Aether Systems is seeking a visionary Lead AGI Systems Architect to join our elite engineering team. As we prepare for our 2026 roadmap, you will be at the forefront of building the infrastructure that powers next-generation cognitive computing.

We are not just writing code; we are architecting the minds of tomorrow. In this role, you will bridge the gap between theoretical neural network research and production-grade scalability, ensuring our systems are robust, ethical, and infinitely adaptable.

Responsibilities

  • Design & Architecture: Lead the end-to-end design of large-scale neural network architectures and distributed computing systems.
  • Scalability: Engineer systems capable of processing petabytes of data with microsecond latency.
  • Optimization: Implement cutting-edge optimization techniques (quantization, pruning, mixed precision) to maximize hardware efficiency.
  • Leadership: Mentor a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Integration: Integrate third-party AI APIs and proprietary models into a cohesive ecosystem.
  • Roadmap Execution: Translate the 2026 product vision into concrete technical milestones and engineering standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field (or equivalent practical experience).
  • Experience: 8+ years of experience in software engineering with a focus on AI/ML.
  • Stack: Deep expertise in Python, C++, and frameworks like PyTorch or TensorFlow.
  • Knowledge: Strong understanding of Large Language Models (LLMs), transformers, and reinforcement learning.
  • Soft Skills: Exceptional communication skills and the ability to translate complex technical concepts for non-technical stakeholders.
  • Security: Experience with AI security protocols and adversarial defense mechanisms.

Required Skills

Python C++ PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Architecture AWS Kubernetes Leadership

Ready to Take This Challenge?

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