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Senior AI Architect - 2026 Readiness | San Francisco, CA

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

Job Description

Architect the Future of Intelligence.
Nexus Future Systems is pioneering the technological infrastructure for the year 2026. We are seeking a visionary Senior AI Architect to lead our research and development in next-generation Artificial General Intelligence (AGI) and hybrid quantum-classical computing solutions. If you are passionate about pushing the boundaries of what is possible in machine learning and system design, this is your opportunity to define the roadmap for the future.

Why Join Nexus Future Systems?
β€’ Impact at Scale: Work on projects that will fundamentally reshape industries by 2026.
β€’ Premium Compensation: Competitive salary plus equity package.
β€’ Future-Ready Culture: A collaborative environment focused on innovation, not legacy code.

Responsibilities

  • Design and deploy scalable neural architectures optimized for 2026 inference standards and low-latency requirements.
  • Bridge the gap between classical machine learning models and emerging quantum computing paradigms.
  • Lead a high-performance engineering team in the research and implementation of proprietary AI algorithms.
  • Define the technical roadmap for the company's 2026 product suite, ensuring scalability and security.
  • Collaborate with cross-functional partners to integrate AI solutions into complex enterprise ecosystems.
  • Conduct rigorous testing and validation of AI models to ensure robustness in high-stakes environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
  • 7+ years of professional experience in machine learning engineering, deep learning, or AI architecture.
  • Proven expertise in designing large-scale distributed systems and high-throughput data pipelines.
  • Strong proficiency in Python, TensorFlow, PyTorch, and cloud-native architectures (AWS, GCP, Azure).
  • Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a significant plus.
  • Demonstrated ability to lead technical strategy and mentor junior engineers.

Required Skills

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

Ready to Take This Challenge?

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