Job Description
We are seeking a visionary Future-Ready AI Systems Architect to join our elite engineering team in San Francisco. As we look toward the horizon of 2026 and beyond, we need a technical leader who can design scalable, resilient, and ethical architectures for next-generation artificial intelligence systems.
In this pivotal role, you will define the technical strategy for our core products, ensuring they are built on a foundation that scales with global demand. You will bridge the gap between theoretical AI research and practical, high-performance engineering.
Responsibilities
- Design and oversee the implementation of scalable AI infrastructure and cloud-native architectures.
- Lead technical decision-making for data pipelines, machine learning models, and real-time processing systems.
- Collaborate with product managers and data scientists to translate business requirements into robust technical solutions.
- Ensure system reliability, security, and compliance with global data privacy standards.
- Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
- Stay ahead of emerging technologies to drive roadmap improvements for 2026 and beyond.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
- 10+ years of experience in software architecture, with a specific focus on AI and Machine Learning platforms.
- Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to navigate ambiguity in fast-paced environments.
- Excellent communication skills, capable of articulating complex technical concepts to diverse stakeholders.