Job Description
The Future is Now. FutureScale Technologies is at the forefront of defining the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI Infrastructure Architect to spearhead the construction of our next-generation neural network infrastructure. If you are passionate about building scalable, resilient systems that power the future of Artificial Intelligence, we want to meet you.
In this role, you will bridge the gap between cutting-edge Machine Learning research and robust, production-grade infrastructure. You will lead the architecture of our cloud-native platforms, ensuring our systems are not only future-proof but also optimized for the unique demands of Generative AI and predictive modeling. Join us in shaping the digital ecosystem of tomorrow.
Responsibilities
- Architect and design scalable, high-availability infrastructure solutions for AI workloads, focusing on the 2026 technological roadmap.
- Lead the migration and optimization of legacy systems to modern cloud-native architectures (Kubernetes, Docker).
- Implement and manage complex data pipelines that handle petabyte-scale datasets with real-time processing requirements.
- Collaborate with data scientists and ML engineers to optimize model serving latency and throughput.
- Ensure the highest standards of security, compliance, and disaster recovery planning across all infrastructure assets.
- Drive innovation by evaluating emerging technologies (e.g., Edge AI, Quantum-ready architectures) and integrating them into the core stack.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 8+ years of experience in software engineering, with at least 3 years in a Senior Architect or Engineering Lead role.
- Deep expertise in Python, Go, or Rust, with proven experience in building distributed systems.
- Extensive hands-on experience with cloud providers (AWS, GCP, or Azure) and container orchestration.
- Strong understanding of Machine Learning operations (MLOps) and CI/CD pipelines.
- Experience designing infrastructure for Generative AI models and Large Language Models (LLMs).