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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

FutureCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are redefining the boundaries of artificial intelligence with Project 2026. Our mission is to build the next generation of autonomous neural networks that operate at the edge of quantum computing capabilities. We are seeking a visionary Senior AI Architect to lead the technical strategy and implementation of our core systems. If you want to build the infrastructure of the future, this is your opportunity.

Why Join Us?

  • Work on cutting-edge AI research and production deployment.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in San Francisco.

The Role:

You will be responsible for the end-to-end architecture of our flagship AI product. You will bridge the gap between theoretical research and scalable engineering, ensuring our systems are robust, secure, and future-proof.

Responsibilities

  • Architect and design scalable, high-performance AI/ML systems for Project 2026.
  • Lead a team of data scientists and engineers in developing proprietary algorithms.
  • Collaborate with product managers to define technical roadmaps and product features.
  • Ensure system reliability, security, and performance optimization in production environments.
  • Stay abreast of the latest advancements in AI, quantum computing, and cloud infrastructure.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps pipelines and data engineering best practices.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems Cloud Architecture Kubernetes AWS MLOps

Ready to Take This Challenge?

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