Job Description
Join the Architects of Tomorrow
Nexus Future Systems is pioneering the next generation of autonomous intelligence. We are looking for a visionary AI Infrastructure Architect to design the scalable, resilient backbone for our 2026 technology roadmap. In this role, you will bridge the gap between theoretical AI research and high-performance engineering.
You will be responsible for architecting the systems that power our next-generation neural networks, ensuring they are secure, efficient, and ready for the demands of a connected world.
Responsibilities
- Design and Deploy: Architect scalable, cloud-native ML pipelines capable of handling petabyte-scale data streams in real-time.
- Optimization: Engineer high-performance systems to reduce latency and maximize inference speeds on edge devices.
- Hybrid Integration: Collaborate with quantum computing teams to integrate hybrid classical-quantum models into existing infrastructures.
- Security & Compliance: Implement zero-trust security frameworks to protect sensitive training data and autonomous agent outputs.
- Legacy Migration: Lead the strategic migration of monolithic systems to decentralized, microservices-based architectures.
- Technical Leadership: Mentor a team of senior engineers and define best practices for AI engineering and deployment.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Programming: Deep expertise in Python, Rust, and C++ for system-level programming.
- Cloud Mastery: Professional certification and 5+ years of experience with AWS, Azure, or GCP in a high-scale environment.
- AI Knowledge: Extensive experience with Large Language Models (LLMs), fine-tuning, and MLOps tools.
- Problem Solving: Demonstrated ability to solve complex distributed systems problems under high-pressure scenarios.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.