Job Description
Are you ready to shape the digital landscape of 2026 and beyond? FutureScale Systems is seeking a visionary Lead AI Infrastructure Architect to spearhead our global expansion into next-gen computational environments. In this pivotal role, you will bridge the gap between theoretical AI research and robust, scalable production infrastructure.
We are not just building software; we are architecting the nervous system of a future where intelligence is ubiquitous. If you possess a deep understanding of distributed systems, large-scale machine learning, and cloud-native technologies, we want to hear from you.
Responsibilities
- Architect and deploy high-availability distributed systems capable of handling exabyte-scale data processing.
- Lead the integration and optimization of Generative AI models into core product infrastructure.
- Define technical roadmaps for cloud migration and hybrid cloud environments.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Ensure system security, scalability, and resilience in compliance with industry standards.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
Qualifications
- Master’s or PhD in Computer Science, Engineering, or a related technical field.
- 10+ years of experience in software engineering and infrastructure architecture.
- Extensive experience with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).
- Proven track record of deploying and managing Large Language Models (LLMs) at scale.
- Strong proficiency in Python, Go, or Rust.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.