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Senior AI Architect - Project 2026 Initiative | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to shape the technological landscape of the next decade?

Nexus Future Systems is pioneering the Project 2026 initiative, a groundbreaking research division dedicated to developing next-generation Artificial General Intelligence (AGI) and quantum-assisted neural networks. We are looking for a visionary Senior AI Architect to lead the architectural design and implementation of our core learning models.

In this role, you will not just write code; you will define the protocols for the future of human-machine interaction. You will work in a high-performance environment with top-tier talent, pushing the boundaries of what is possible in 2026 and beyond.

Why Join Us?

  • Work on the bleeding edge of Futuristic Technology and AGI.
  • Competitive compensation package including equity options.
  • Flexible remote-first policy with a premium office in downtown SF.

Responsibilities

  • Lead the architectural design of scalable, distributed AI systems for the Project 2026 initiative.
  • Define and implement best practices for machine learning pipelines, data governance, and model deployment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to translate business requirements into advanced technical solutions.
  • Research and prototype novel algorithms to enhance model efficiency and accuracy.
  • Conduct rigorous code reviews and performance tuning for high-volume production environments.
  • Stay ahead of industry trends in quantum computing and neural network architecture.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field.
  • Minimum of 8+ years of experience in software engineering, with a strong focus on Machine Learning and AI.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing scalable distributed systems (Kubernetes, Docker, AWS/GCP).
  • Strong understanding of deep learning architectures (Transformers, GANs, RNNs).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with quantum computing libraries (Qiskit, Cirq) is a significant plus.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Kubernetes AWS Quantum Computing System Design Agile Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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