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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Systems Architect to lead the infrastructure development for Project 2026, our next-generation quantum-integrated artificial intelligence ecosystem. In this pivotal role, you will define the architectural blueprint for scalable, secure, and high-performance AI models that will define the technological landscape of the next decade.

Why Join Us?

Project 2026 represents a paradigm shift in machine learning. You will work alongside top-tier engineers and data scientists to solve unsolved problems in neural processing and edge computing. We offer competitive compensation, equity packages, and the opportunity to shape the future of technology.

Responsibilities

  • Architect and design scalable AI infrastructure capable of processing petabytes of quantum-computing-ready data.
  • Lead the development of proprietary neural network frameworks optimized for low-latency edge environments.
  • Collaborate with cross-functional teams to integrate AI solutions into broader software ecosystems.
  • Establish best practices for model deployment, monitoring, and continuous learning pipelines.
  • Ensure system security, compliance, and ethical AI governance across all Project 2026 deliverables.
  • Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years dedicated to AI/ML systems design.
  • Deep expertise in Python, C++, and distributed systems programming.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Familiarity with quantum computing architectures and their intersection with classical AI.
  • Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Experience with MLOps tools, data pipelines (Apache Spark, Kafka), and version control (Git).

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Cloud Architecture Machine Learning Neural Networks System Design Quantum Computing

Ready to Take This Challenge?

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