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Senior AI Architect | 2026 Innovations | San Francisco, CA

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

At 2026 Innovations, we are not just building software; we are engineering the future. As we approach the pivotal year of 2026, our mission is to deliver a paradigm shift in Artificial General Intelligence (AGI) and Quantum-Integrated Computing. We are seeking a visionary Senior AI Architect to lead our core infrastructure team and define the technological roadmap that will define the next decade.


Why Join Us?
We offer a competitive salary, comprehensive benefits, and the opportunity to work on groundbreaking projects that will shape the trajectory of humanity. If you are passionate about the intersection of AI, Quantum Mechanics, and scalable software architecture, this is your opportunity to make an impact.

Responsibilities

  • Spearhead the architectural design and development of the '2026 Core' neural framework, ensuring scalability and performance for next-gen AI models.
  • Integrate quantum computing algorithms into existing deep learning pipelines to solve complex optimization problems.
  • Lead a high-performance team of 10+ engineers, providing mentorship and fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional stakeholders to define product requirements and translate business goals into technical roadmaps.
  • Conduct rigorous code reviews and establish best practices for deployment, security, and data integrity.
  • Stay ahead of industry trends, specifically focusing on AGI advancements and emerging hardware accelerators.
  • Optimize large-scale data processing systems to support real-time inference capabilities.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related field.
  • Minimum of 7+ years of experience in software engineering, with a strong focus on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Experience with quantum computing libraries (Qiskit, Cirq) or quantum machine learning is highly preferred.
  • Proven track record of leading technical teams through the full software development lifecycle.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • U.S. Citizenship or Permanent Residency is required due to project security clearance.

Required Skills

Python PyTorch TensorFlow Quantum Computing Machine Learning Distributed Systems Cloud Architecture AWS Docker Kubernetes

Ready to Take This Challenge?

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