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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

At 2026, we are not just predicting the future; we are building it. We are a pioneering technology firm dedicated to revolutionizing the way humans interact with artificial intelligence. We are seeking a visionary Senior AI Architect to lead our research and development efforts in next-generation machine learning systems.

In this role, you will be at the forefront of innovation, designing scalable architectures that power our flagship products. You will work with a world-class team of engineers and data scientists to solve complex problems and push the boundaries of what is possible with AI.

Why join 2026?

  • Work on cutting-edge projects that impact millions.
  • Competitive compensation package and equity options.
  • Flexible remote-first work culture with state-of-the-art equipment.

Apply today to become a key architect of the future.

Responsibilities

  • Design and implement robust, scalable AI and machine learning infrastructure using Python, PyTorch, and TensorFlow.
  • Lead the end-to-end development lifecycle of deep learning models, from data ingestion to deployment.
  • Collaborate with cross-functional teams to integrate AI solutions into product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Conduct research to identify new opportunities for AI application and optimization.
  • Ensure model accuracy, efficiency, and ethical AI practices across all projects.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of professional experience in software engineering and machine learning.
  • Extensive experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
  • Strong proficiency in Python and SQL.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying ML models to production environments.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning Docker Kubernetes SQL NLP

Ready to Take This Challenge?

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

Apply Now

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