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Senior AI/AGI Architect (2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI/AGI Architect to spearhead the development of our next-generation autonomous systems for the year 2026. You will be at the forefront of integrating Large Language Models (LLMs) with real-time reinforcement learning to create self-improving software agents that redefine industry standards.

Why Join Us?
We are building the infrastructure that will power the digital economy of tomorrow. You will work in a state-of-the-art R&D lab focused on ethical AI, quantum-enhanced computing, and multimodal learning. This is a unique opportunity to shape the future of artificial intelligence.

Responsibilities

  • Architect and deploy scalable AI infrastructures capable of handling petabyte-scale data streams and high-velocity inference.
  • Design novel algorithms for autonomous decision-making agents and predictive maintenance systems for industrial IoT.
  • Collaborate with cross-functional teams to integrate cutting-edge AI solutions into core product ecosystems.
  • Establish best practices for model training, rigorous evaluation, and safe deployment in high-stakes environments.
  • Lead research initiatives exploring the intersection of Generative AI, Computer Vision, and Neural Symbolic AI.
  • Optimize model latency and cost-efficiency using edge computing and model quantization techniques.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and advanced transformer architectures (GPT, Llama).
  • Strong proficiency in system design, specifically focusing on low-latency inference pipelines and distributed systems.
  • Familiarity with Rust, Go, or C++ for high-performance computing applications.
  • Demonstrated history of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or contributing to major open-source AI projects.

Required Skills

Artificial Intelligence Machine Learning Deep Learning LLMs System Architecture Python Rust PyTorch TensorFlow Distributed Systems

Ready to Take This Challenge?

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