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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Project 2026

Future Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on the precipice of a new era in computing. Project 2026 is our flagship initiative to build the next-generation neural infrastructure for autonomous systems. We are seeking a visionary Lead AI Architect to define the architectural roadmap and lead a team of elite engineers.

At Future Nexus, we don't just build software; we engineer the fabric of tomorrow. If you are passionate about pushing the boundaries of what is possible in generative AI and distributed computing, we want to hear from you. You will be responsible for creating scalable solutions that power the next generation of intelligent applications.

Responsibilities

  • Define and execute the technical vision for Project 2026, ensuring scalability, security, and fault tolerance.
  • Lead a high-performance team of machine learning engineers and data scientists in designing proprietary algorithms.
  • Architect high-throughput systems capable of processing real-time data streams at scale.
  • Collaborate with product leaders and stakeholders to translate complex requirements into technical blueprints.
  • Mentor junior staff and conduct rigorous code reviews to maintain engineering excellence.
  • Stay abreast of the latest advancements in AI, quantum computing, and edge technologies.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related field (PhD preferred).
  • 10+ years of experience in software architecture, with a specific focus on AI/ML systems.
  • Deep expertise in Python, C++, and Rust.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience with distributed systems and high-availability architectures.

Required Skills

Python C++ Rust Machine Learning Distributed Systems Kubernetes AWS PyTorch TensorFlow Cloud Architecture Neural Networks

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