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Senior AI Architect | Nexus 2026 | San Francisco, CA

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus 2026 is pioneering the next generation of Artificial General Intelligence (AGI) and quantum-enhanced computing systems. We are looking for a visionary Senior AI Architect to lead our core infrastructure team in San Francisco. If you thrive in high-stakes environments and want to shape the technological landscape of 2026 and beyond, we want to hear from you.

Join a team of world-class engineers, researchers, and futurists dedicated to solving humanity's most complex challenges through advanced AI.

Responsibilities

  • Design and implement scalable, high-performance AI architectures using Python, TensorFlow, and quantum computing frameworks.
  • Lead the research and development of proprietary machine learning models designed for the 2026 ecosystem.
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise-grade software products.
  • Optimize algorithms for speed, accuracy, and energy efficiency in cloud environments (AWS/GCP).
  • Define technical vision and best practices for AI model deployment and monitoring.
  • Mentor junior engineers and foster a culture of continuous learning and innovation.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7 years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, C++, and deep learning frameworks (PyTorch/Keras).
  • Experience with quantum computing libraries (Qiskit, Cirq) is a significant plus.
  • Proven track record of deploying production-grade AI systems at scale.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Quantum Computing Cloud Architecture TensorFlow PyTorch System Design Research

Ready to Take This Challenge?

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