Job Description
Are you ready to architect the future?
2026 Systems is pioneering the next generation of autonomous intelligence and quantum-ready algorithms. We are seeking a visionary Senior AI Architect to join our elite team in San Francisco. You will be responsible for designing the core infrastructure that powers our next-generation predictive models. If you thrive in a high-performance environment and want to push the boundaries of what is possible with artificial intelligence, this is your opportunity to lead the charge.
2026 Systems is pioneering the next generation of autonomous intelligence and quantum-ready algorithms. We are seeking a visionary Senior AI Architect to join our elite team in San Francisco. You will be responsible for designing the core infrastructure that powers our next-generation predictive models. If you thrive in a high-performance environment and want to push the boundaries of what is possible with artificial intelligence, this is your opportunity to lead the charge.
Responsibilities
- Design and deploy scalable neural network architectures for real-time data processing.
- Collaborate with quantum computing researchers to integrate classical and quantum machine learning algorithms.
- Lead the architecture of distributed AI systems ensuring high availability and fault tolerance.
- Mentor junior engineers and data scientists on best practices for scalable AI infrastructure.
- Experiment with emerging frameworks to stay ahead of industry trends and optimize model performance.
- Translate complex business requirements into robust technical solutions and system designs.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in Machine Learning Engineering or AI Architecture.
- Deep proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Extensive experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
- Strong understanding of Natural Language Processing (NLP) and Computer Vision pipelines.