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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: Project 2026

FutureScale Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the forefront of the next technological revolution with Project 2026. We are seeking a visionary Lead AI Architect to design and implement the next generation of autonomous, generative systems. If you are passionate about pushing the boundaries of artificial intelligence and building scalable, high-performance infrastructure, we want to meet you.

Why join us?
Join a team of world-class engineers and researchers dedicated to defining the AI landscape of the future. You will have the autonomy to make critical architectural decisions and the resources to innovate without bounds.

Responsibilities

  • Architect and deploy the core neural engine for Project 2026, focusing on scalability and efficiency.
  • Lead the research and implementation of cutting-edge Large Language Models (LLMs) and generative algorithms.
  • Optimize deep learning inference pipelines to ensure sub-millisecond latency in production environments.
  • Collaborate cross-functionally with product, security, and engineering teams to integrate AI capabilities seamlessly.
  • Define technical standards and best practices for the AI infrastructure team.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 3 years in leading AI/ML architecture.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of designing and deploying large-scale machine learning systems in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of NLP, computer vision, or reinforcement learning.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-growth environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture AWS GCP Kubernetes Docker System Design

Ready to Take This Challenge?

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