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Information Technology 🏒 Full Time ⭐️ Verified

2026 AGI Systems Architect

2026 Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the Vanguard of Artificial General Intelligence

2026 is not just a company; it is the future. We are pioneering the technology stack that will define the year 2026 and beyond. We are seeking a visionary AGI Systems Architect to lead our core infrastructure development.

In this role, you will bridge the gap between theoretical AI research and production-grade systems. You will be responsible for architecting the neural pathways that power our autonomous agents and predictive models. If you are obsessed with scalability, efficiency, and the ethical implications of superintelligence, this is your stage.

Responsibilities

  • Design and deploy scalable, fault-tolerant architectures for Large Language Models (LLMs) and Autonomous Agents.
  • Optimize model inference latency and throughput to support real-time decision-making environments.
  • Lead the implementation of safety and alignment protocols to ensure AGI behavior aligns with human values.
  • Collaborate with data scientists and researchers to translate experimental models into production software.
  • Establish best practices for code quality, testing, and CI/CD pipelines in a high-velocity environment.
  • Conduct deep-dive performance tuning on GPU clusters and distributed systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 7+ years of experience in software engineering, specifically within AI/ML infrastructure.
  • Expert proficiency in Python, C++, and distributed computing frameworks (Ray, Kubernetes).
  • Deep understanding of Deep Learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong experience with vector databases and embeddings for semantic search.
  • Proven track record of shipping high-impact products in a fast-paced startup environment.

Required Skills

Python C++ PyTorch TensorFlow Kubernetes Ray Distributed Systems NLP Deep Learning AWS GCP System Architecture

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