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Senior AI Architect - The 2026 Initiative

FutureCore Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Architecting the Future of Intelligence

FutureCore Technologies is at the forefront of the The 2026 Initiative, a revolutionary project aimed at deploying autonomous decision-making systems across global infrastructure. We are seeking a visionary Senior AI Architect to lead the technical strategy for our next-generation neural networks.

In this role, you will define the architectural standards for scalable machine learning models that will power smart cities and autonomous fleets by 2026. You will collaborate with a world-class team of data scientists, security experts, and hardware engineers to bridge the gap between theoretical AI and real-world deployment.

Why Join Us?

  • Work on high-impact, cutting-edge technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities in San Francisco.

Responsibilities

  • Lead the architectural design and implementation of large-scale deep learning systems.
  • Define data pipelines and model training strategies for the 2026 product roadmap.
  • Optimize existing algorithms for real-time processing and edge deployment.
  • Collaborate with cross-functional teams to integrate AI models with legacy infrastructure.
  • Mentor junior engineers and establish best practices for MLOps and reproducibility.
  • Conduct rigorous code reviews and technical architecture reviews.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8 years of professional experience in AI/ML engineering, preferably in a high-scale environment.
  • Extensive experience with Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Deep understanding of neural network architectures, NLP, and computer vision.
  • Proven track record of deploying production-ready machine learning models.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow System Architecture MLOps Distributed Systems

Ready to Take This Challenge?

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