Home Job Details
2
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the trajectory of artificial intelligence? 2026 is not just a year; it is our mission. We are a premier research lab dedicated to building the foundational models that will redefine human-computer interaction. We are seeking a visionary Senior AI Architect to lead our research division and build the future of intelligent systems.

In this role, you will bridge the gap between theoretical research and scalable production systems. You will work with a world-class team of researchers and engineers to push the boundaries of what is possible in machine learning, creating solutions that are not only powerful but also ethical and accessible.

Responsibilities

  • Architect and deploy cutting-edge Generative AI models at scale, ensuring high availability and fault tolerance.
  • Lead the research and development of novel neural network architectures to solve complex industry problems.
  • Optimize inference pipelines for low-latency, high-throughput environments, reducing compute costs significantly.
  • Collaborate with cross-functional teams (Product, Design, Engineering) to integrate AI solutions into consumer products seamlessly.
  • Set technical standards and mentor junior engineers in best practices for machine learning engineering.
  • Conduct rigorous evaluation and testing of model performance, safety, and bias mitigation strategies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 7+ years of professional experience in machine learning, deep learning, or NLP.
  • Expert proficiency in Python, PyTorch, and TensorFlow/Keras.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL, etc.).
  • Experience with MLOps tools, version control, and CI/CD pipelines for ML models.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP MLOps Kubernetes Docker

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