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Senior AI Architect | 2026 | San Francisco, CA

2026
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of intelligence? 2026 is seeking a visionary Senior AI Architect to lead our core research division in the heart of San Francisco. We aren't just building software; we are engineering the cognitive layer of tomorrow's digital infrastructure.

In this pivotal role, you will bridge the gap between theoretical machine learning and scalable, production-grade neural networks. You will work alongside a world-class team to solve complex problems in predictive modeling, autonomous systems, and synthetic data generation, directly shaping the roadmap for the next decade of technology.

Responsibilities

  • Design and implement state-of-the-art deep learning architectures for scalable AI systems.
  • Lead a cross-functional team of researchers and engineers to deliver high-impact projects on aggressive timelines.
  • Optimize model inference latency and resource utilization for high-performance edge deployment.
  • Establish best practices for data governance, ethical AI frameworks, and model interpretability.
  • Conduct rigorous research to stay ahead of the curve in AI evolution and publish findings.
  • Mentor junior developers and shape the technical vision of the organization.
  • Collaborate with product managers to translate abstract concepts into tangible software solutions.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of professional experience in machine learning and software engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with distributed systems and cloud platforms (AWS/GCP/Azure).
  • Experience with Rust or C++ for high-performance computing is highly preferred.
  • Proven track record of shipping production-level machine learning models that drive business value.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing AWS C++ Rust Natural Language Processing Neural Networks

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