Job Description
Are you ready to engineer the next generation of intelligence? Apex Horizon Labs is seeking a visionary Future-Ready AI Infrastructure Architect to lead our initiatives for 2026 and beyond. As we stand on the precipice of the next technological leap, you will be responsible for architecting the scalable, sustainable, and secure infrastructure required to power generative models at scale.
We are looking for a technical leader who doesn't just follow trends but anticipates them. In this role, you will bridge the gap between cutting-edge AI research and robust, production-grade engineering.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable distributed systems capable of handling next-generation LLM inference and training workloads.
- Cloud & Edge Integration: Optimize AI workflows across hybrid cloud environments and edge computing architectures to ensure low-latency deployment.
- Infrastructure Automation: Drive the adoption of IaC (Infrastructure as Code) tools (Terraform, CloudFormation) to automate deployment pipelines.
- Performance Optimization: Continuously monitor and improve system efficiency, focusing on energy efficiency and cost reduction in large-scale AI training.
- Cross-Functional Leadership: Collaborate with research scientists and product teams to translate theoretical AI advancements into tangible engineering solutions.
Qualifications
- Technical Mastery: 5+ years of experience in software engineering with a focus on high-scale distributed systems or AI infrastructure.
- Programming Proficiency: Deep expertise in Python, Go, or Rust; experience with PyTorch or TensorFlow is required.
- Cloud Expertise: Strong hands-on experience with AWS, Azure, or Google Cloud Platform (GCP).
- Containerization: Proficiency in Docker and Kubernetes orchestration.
- AI/ML Knowledge: Solid understanding of MLOps, model serving, and data pipeline architecture.