Home Job Details
C
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Chronos AI Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Chronos AI Labs is seeking a visionary Senior AI Architect to spearhead the development of next-generation neural architectures designed for the 2026 era. As we push the boundaries of artificial general intelligence, you will define the core infrastructure that powers our predictive models and autonomous systems.

In this role, you will not just write code; you will shape the ethical and technical landscape of AI for the next decade. You will work with a world-class team of researchers and engineers to deploy scalable machine learning solutions that are robust, secure, and ready for global scale.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure optimized for 2026-era hardware and latency requirements.
  • Lead the Research and Development (R&D) of proprietary Generative AI models and Large Language Models (LLMs).
  • Collaborate with cross-functional teams to integrate AI solutions into real-world enterprise applications.
  • Ensure data privacy, security, and ethical compliance in all AI model training and deployment cycles.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct performance tuning and optimization to improve model accuracy and reduce inference costs.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Minimum of 5+ years of experience in designing and implementing complex machine learning systems.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Proven track record of deploying state-of-the-art models in production environments.
  • Deep understanding of Deep Learning architectures, Natural Language Processing (NLP), and Computer Vision.
  • Experience managing GPU clusters and cloud-based AI infrastructure (AWS, GCP, or Azure).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All