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Lead AI Architect (AGI & 2026 Roadmap)

Chronos Future Tech
San Francisco
Estimated Salary
USD 210.000 – USD 320.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Chronos Future Tech is seeking a visionary Lead AI Architect to spearhead the development of our next-generation Artificial General Intelligence (AGI) systems. In this pivotal role, you won't just write code; you will architect the future.

We are not just building software; we are engineering the cognitive infrastructure for the next decade. If you thrive in ambiguity, possess a deep understanding of neural architectures, and are passionate about the roadmap leading up to 2026, we want to meet you.

Responsibilities

  • Architect scalable, fault-tolerant AI infrastructures capable of processing exabyte-scale datasets.
  • Define the technical roadmap and long-term strategy for AGI capabilities leading into 2026.
  • Lead a high-performance team of ML engineers and data scientists to prototype and deploy cutting-edge models.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Ensure ethical AI standards and compliance with emerging global regulations.
  • Conduct research on novel neural network architectures to improve model efficiency and reasoning capabilities.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
  • 10+ years of experience in machine learning, deep learning, and distributed systems.
  • Proven track record of leading engineering teams and delivering complex technical projects.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of quantum computing principles and their application to AI optimization.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning Engineering Distributed Systems Kubernetes Quantum Computing NLP AI Ethics

Ready to Take This Challenge?

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