Job Description
We are seeking a pioneering AI Infrastructure Architect to design the foundational layers of our 2026 roadmap. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence and robust, scalable systems architecture. As we prepare for the next generation of neural networks and quantum-ready computing, your expertise will be the bedrock of our technological evolution.
You will be responsible for architecting high-throughput, low-latency environments that can handle the massive data throughput required by next-gen Large Language Models (LLMs). If you are passionate about future-proofing infrastructure and leading the technological charge into 2026, we want to hear from you.
Responsibilities
- Architect and deploy scalable, distributed AI inference pipelines optimized for 2026 performance standards.
- Design quantum-resistant encryption and data integrity protocols for high-stakes AI training clusters.
- Lead the migration towards energy-efficient, hardware-accelerated computing environments.
- Collaborate with ML researchers to translate model requirements into concrete infrastructure specifications.
- Implement real-time monitoring and auto-scaling strategies to ensure 99.99% uptime.
- Drive the adoption of containerization and serverless technologies to optimize deployment workflows.
Qualifications
- 5+ years of experience in system architecture, distributed systems, or cloud infrastructure (AWS, GCP, Azure).
- Deep proficiency in Python, Rust, or Go for high-performance backend development.
- Experience with Kubernetes, Docker, and infrastructure-as-code tools (Terraform, Ansible).
- Strong understanding of AI/ML frameworks (TensorFlow, PyTorch) and hardware accelerators (GPUs, TPUs).
- Experience designing fault-tolerant systems capable of handling petabyte-scale data streams.
- Excellent problem-solving skills with a focus on scalability and security.