Job Description
We are pioneering the next generation of intelligent infrastructure. As we look toward 2026, our mission is to build a self-sustaining, scalable AI ecosystem that powers global operations.
The AI Systems Architect will be at the forefront of this transformation, bridging the gap between cutting-edge machine learning models and robust, high-performance system architecture. You will lead the charge in designing resilient systems that handle petabyte-scale data while ensuring real-time decision-making capabilities.
Why Join Us?
- Work on the bleeding edge of AI and Cloud Technology.
- Competitive compensation and equity packages.
- Flexible remote-first policy with HQ in San Francisco.
Responsibilities
- Architect and implement scalable, fault-tolerant AI infrastructure using Kubernetes and serverless technologies.
- Design data pipelines that ingest, process, and serve data for real-time model inference.
- Collaborate with data scientists and ML engineers to translate research into production-ready systems.
- Oversee cloud migration strategies (AWS/Azure) ensuring high availability and security compliance.
- Drive architectural decisions that align with long-term business goals and 2026 technology roadmaps.
Qualifications
- 10+ years of experience in software engineering and system architecture.
- Deep expertise in Python, Go, or Rust, with strong knowledge of AI frameworks (TensorFlow, PyTorch).
- Proven track record of deploying large-scale machine learning workloads.
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Strong understanding of cloud native principles and security best practices.