Job Description
Shape the Future of Intelligence
Apex Horizon Systems is pioneering the infrastructure for tomorrow. We are seeking a Senior AI Infrastructure Engineer to join our elite team in San Francisco. In this pivotal role, you will architect the scalable, secure backbone for our next-generation AI models, ensuring we remain at the forefront of the 2026 technological landscape.
You will be responsible for bridging the gap between theoretical machine learning and production-grade systems. If you are passionate about building robust, high-performance infrastructure and want to define the standards for AI operations, we want to hear from you.
Responsibilities
- Architect and deploy scalable MLOps pipelines using Kubernetes and Terraform.
- Implement real-time monitoring and alerting systems to ensure 99.99% system uptime for AI workloads.
- Collaborate with data scientists to optimize model inference latency and resource utilization.
- Integrate advanced security protocols into the AI development lifecycle.
- Drive the migration of legacy systems to modern, cloud-native architectures.
- Conduct post-mortems and root-cause analysis to continuously improve system resilience.
Qualifications
- 7+ years of experience in software engineering, DevOps, or Site Reliability Engineering.
- Proficiency in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, or JAX).
- Strong expertise in containerization (Docker) and orchestration (Kubernetes).
- Experience with major cloud providers (AWS, GCP, or Azure).
- Deep understanding of CI/CD pipelines and infrastructure-as-code (IaC) practices.
- Excellent problem-solving skills and a passion for innovation.