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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect

2026
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Architect the Future with 2026

Are you ready to define the next era of technology? At 2026, we are not just building software; we are engineering the future. We are seeking a world-class Lead AI Architect to lead our research division in developing autonomous, scalable, and secure artificial intelligence systems.

In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering. You will oversee the architecture of our next-generation neural networks, optimize our inference pipelines for maximum speed, and mentor a team of brilliant engineers. If you are passionate about pushing the boundaries of what is possible in AI, 2026 is the place for you.

Responsibilities

  • Architect and implement high-performance machine learning infrastructure capable of processing petabytes of data in real-time.
  • Lead the technical vision for 2026’s core AI product, ensuring scalability, fault tolerance, and security.
  • Collaborate with product managers and data scientists to define technical roadmaps and deliver innovative AI solutions.
  • Stay ahead of the curve in AI research, evaluating and integrating breakthrough technologies like LLMs, Diffusion Models, and Reinforcement Learning.
  • Establish best practices for code quality, testing, CI/CD pipelines, and deployment in a high-velocity environment.
  • Drive architectural decisions that align with long-term business goals and regulatory standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Physics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
  • Expert proficiency in Python, C++, and distributed systems programming.
  • Deep understanding of deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).
  • Proven track record of leading high-performing engineering teams and mentoring junior developers.
  • Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python Machine Learning Distributed Systems Cloud Architecture TensorFlow PyTorch Docker Kubernetes AWS GCP

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