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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (Project 2026)

CyberCore Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are at the forefront of the Project 2026 initiative, a revolutionary program redefining the boundaries of Artificial General Intelligence (AGI) and quantum-digital convergence. We are looking for a visionary Senior AI Architect to lead our infrastructure strategy and build the neural frameworks that will power the next decade of human-machine collaboration.

If you are passionate about solving unsolvable problems and want to leave a legacy in the history of technology, we want to meet you.

Why Join Us?

  • Revolutionary Impact: Work on core infrastructure for the Project 2026 roadmap.
  • Top-Tier Compensation: Competitive salary and equity package.
  • Flexible Environment: Hybrid work model in the heart of San Francisco.

Responsibilities

  • Architect and design scalable, high-performance neural network infrastructure tailored for the Project 2026 timeline.
  • Lead the migration of legacy models to next-generation distributed computing environments.
  • Define technical strategies for integrating quantum computing protocols into standard AI workflows.
  • Mentor a team of senior engineers and data scientists to foster a culture of innovation and excellence.
  • Conduct rigorous performance benchmarking and optimization of deep learning models in real-time.
  • Collaborate with cross-functional teams to translate business requirements into robust technical architectures.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 10+ years of experience in machine learning engineering and large-scale system architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
  • Proven track record of deploying AI systems handling petabytes of data with sub-millisecond latency.
  • Strong understanding of distributed systems, cloud-native architecture (AWS/GCP), and Kubernetes.
  • Experience with quantum computing libraries (Qiskit, Cirq) is a strong plus.

Required Skills

Python PyTorch TensorFlow CUDA Kubernetes AWS Distributed Systems Machine Learning Quantum Computing System Architecture

Ready to Take This Challenge?

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