Job Description
Are you ready to architect the systems that will define the technological landscape of 2026? Nexus Horizon Labs is pioneering the next generation of autonomous intelligence and quantum-assisted computing. We are seeking a visionary Senior AI Infrastructure Architect to build the scalable, fault-tolerant backbone for our next-gen AI agents.
In this high-impact role, you will be responsible for designing infrastructure that supports complex, distributed neural networks. You will work at the intersection of deep learning, high-performance computing, and cloud-native architecture. If you are passionate about pushing the boundaries of what is possible in AI and want to build the future, this is your opportunity.
Responsibilities
- Design and implement scalable AI infrastructure using Kubernetes, Docker, and serverless architectures.
- Develop and optimize MLOps pipelines for automated model training, validation, and deployment.
- Lead the integration of edge computing solutions for low-latency AI inference.
- Ensure system security, scalability, and high availability across multi-region cloud environments.
- Collaborate with R&D teams to translate cutting-edge AI research into production-grade software.
- Drive technical strategy for our data lake and real-time processing pipelines.
Qualifications
- 7+ years of experience in software engineering, with 3+ years specifically in AI/ML infrastructure.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Strong proficiency in Kubernetes, AWS (or Azure/GCP), and Terraform.
- Experience with large-scale distributed systems, message brokers (Kafka/RabbitMQ), and microservices.
- Proven track record of optimizing GPU clusters and reducing inference latency.
- Experience with containerization and CI/CD best practices.