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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect | Project 2026

Project 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? Project 2026 is at the forefront of next-generation AI development, building scalable, ethical, and transformative neural networks. We are seeking a visionary Senior AI Architect to lead our engineering division and define the roadmap for autonomous systems.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will work with a world-class team to deploy models that will define the technological landscape of the coming decade. If you thrive in high-stakes environments and are passionate about pushing the boundaries of what is possible with machine learning, we want to hear from you.

Responsibilities

  • Architect and implement end-to-end AI/ML pipelines for complex, large-scale projects.
  • Lead a team of data scientists and engineers to translate research into production-ready code.
  • Optimize existing models for speed, efficiency, and accuracy in real-time environments.
  • Establish best practices for model governance, data privacy, and ethical AI usage.
  • Collaborate with product managers to define technical requirements for futuristic product features.
  • Stay ahead of industry trends in Deep Learning, NLP, and Computer Vision to innovate continuously.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Minimum of 8+ years of experience in machine learning engineering and AI architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience deploying large-scale models in cloud environments (AWS, GCP, or Azure).
  • Strong background in statistics, linear algebra, and optimization theory.
  • Demonstrated ability to lead cross-functional teams and mentor junior engineers.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning NLP Data Science San Francisco California

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