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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect: Future Systems 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are building the infrastructure for tomorrow, today. Nexus Future Labs is a pioneering research organization dedicated to defining the technological landscape of the 2026 era. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation Artificial General Intelligence (AGI) frameworks and sustainable neural architectures.

In this high-impact role, you will be responsible for designing the blueprints that will power autonomous systems, predictive analytics, and quantum-inspired computing solutions. If you are passionate about the intersection of machine learning, ethics, and futuristic system design, we want to meet you.

Responsibilities

  • Architect scalable, fault-tolerant neural networks designed for the quantum era and high-velocity data streams.
  • Lead high-level design sessions focusing on ethical AI alignment, safety protocols, and explainable AI (XAI).
  • Collaborate with cross-functional teams to integrate advanced AI models into core product ecosystems.
  • Define and execute the technical roadmap for our 2026 product release cycle, ensuring innovation and feasibility.
  • Conduct rigorous research on emerging trends in neuromorphic computing and synthetic data generation.
  • Mentor a team of elite data scientists and software engineers, fostering a culture of technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Computational Neuroscience, or a related quantitative field.
  • 10+ years of progressive experience in designing and deploying large-scale machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and high-performance C++.
  • Proven track record of leading engineering teams through complex architectural transitions.
  • Experience with quantum computing concepts or simulation environments is highly preferred.
  • Strong understanding of cloud infrastructure (AWS, GCP) and edge computing deployment.

Required Skills

Artificial Intelligence Machine Learning Neural Networks System Architecture Python PyTorch Quantum Computing Cloud Infrastructure Leadership Research

Ready to Take This Challenge?

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