Job Description
Are you ready to define the technology stack for the year 2026?
Nexus Horizon Labs is seeking a visionary Senior AI Infrastructure Architect to lead our mission in building next-generation artificial intelligence systems. In this pivotal role, you will be responsible for designing and deploying the scalable, secure, and efficient infrastructure required to power our cutting-edge models. You will bridge the gap between theoretical AI research and robust, production-grade engineering, ensuring our platforms are ready for the future.
Join a team of world-class engineers and researchers dedicated to solving humanity's hardest problems through technology.
Responsibilities
- Architect Future-Proof Systems: Design and maintain scalable infrastructure pipelines capable of supporting advanced machine learning models and high-volume data processing.
- Optimize Performance: Continuously monitor and optimize system latency, throughput, and resource utilization to ensure peak efficiency.
- Cloud & Hybrid Strategy: Lead the strategy for cloud-native and on-premise deployments (AWS, GCP, or Azure), ensuring compliance and cost-effectiveness.
- Collaborate with Research: Work closely with data scientists and ML engineers to translate research prototypes into production-grade services.
- Security & Compliance: Implement robust security protocols and data governance frameworks to protect sensitive AI assets.
- Future Tech Integration: Research and evaluate emerging technologies (e.g., quantum-ready architecture, edge computing) for implementation in 2026 roadmaps.
Qualifications
- Experience: 5+ years of experience in software engineering, with at least 3 years specifically focused on Machine Learning infrastructure.
- Programming: Proficiency in Python, Go, or Rust, with deep knowledge of PyTorch or TensorFlow.
- DevOps: Strong experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Cloud Expertise: Proven track record designing solutions on major cloud providers (AWS/Azure/GCP).
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Leadership: Demonstrated ability to mentor junior engineers and lead architectural discussions.