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Senior 2026 AI Architect - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the year 2026?

Nexus Future Systems is pioneering the next generation of neural architectures. We are seeking a visionary Senior 2026 AI Architect to spearhead the development of predictive systems that bridge the gap between quantum computing and deep learning. This is not just a job; it is a mission to architect the future of intelligent automation.

In this role, you will lead a world-class team in building scalable, high-performance AI infrastructures designed for the edge and the cloud. If you are obsessed with precision, scalability, and the cutting edge of technology, we want to hear from you.

Responsibilities

  • Lead Architectural Vision: Design and implement the core neural network architecture for the 2026 product line, focusing on efficiency and scalability.
  • Quantum Integration: Spearhead the integration of quantum-ready algorithms into classical machine learning pipelines.
  • Team Leadership: Mentor and develop a team of elite software engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Reduce model latency and optimize resource utilization for real-time, high-volume processing.
  • R&D Strategy: Stay ahead of industry trends, evaluating emerging technologies like neuromorphic computing and edge AI.
  • Technical Strategy: Define technical roadmaps and ensure alignment with business objectives and long-term product goals.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years focused on Artificial Intelligence and Machine Learning.
  • Technical Stack: Deep expertise in Python, C++, and Rust. Experience with PyTorch, TensorFlow, or JAX is required.
  • Quantum Proficiency: Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) and quantum-classical hybrid models.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-pressure environments.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python C++ Quantum Computing Neural Networks System Architecture Team Leadership San Francisco

Ready to Take This Challenge?

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