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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

At 2026 Systems, we are pioneering the next generation of artificial intelligence. We are not merely building software; we are architecting the neural frameworks that will define the technological landscape of the future. We are seeking a visionary Senior AI Architect to join our elite engineering team and lead the charge in developing scalable, high-performance machine learning solutions.

As the AI Architect, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing the core architecture of our proprietary neural networks and ensuring they can scale to handle petabytes of data. If you are passionate about pushing the boundaries of what AI can achieve and thrive in a fast-paced, innovative environment, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning infrastructure and deep learning pipelines.
  • Lead the architectural vision for our AI core, ensuring high availability, security, and performance.
  • Mentor a team of talented data scientists and machine learning engineers, fostering a culture of innovation.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Research and evaluate emerging AI technologies to stay ahead of industry trends.
  • Optimize model performance and reduce inference latency for real-time applications.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying large-scale machine learning models in production.
  • Excellent leadership and communication skills, with the ability to translate complex technical concepts to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning Cloud Architecture Kubernetes PyTorch TensorFlow AWS Data Science

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