Job Description
Shape the Future of Intelligence in 2026
Are you ready to architect the digital landscape of tomorrow? Apex Horizon Systems is seeking a visionary Senior AI Infrastructure Architect to lead our next-generation neural computing division. In this pivotal role, you will define the infrastructure requirements for the AI systems that will power the global economy in 2026 and beyond. You will bridge the gap between cutting-edge machine learning models and scalable, high-performance cloud architecture.
Why Join Us?
- Work on the bleeding edge of technology with a team of industry pioneers.
- Competitive compensation package and equity options.
- Remote-first culture with headquarters in the heart of San Francisco.
- Focus on sustainable and ethical AI development.
Responsibilities
- Design and deploy scalable, high-performance AI infrastructure capable of handling petabyte-scale neural network training.
- Lead architectural strategy for migrating legacy systems to next-gen quantum-ready cloud environments.
- Optimize deep learning pipelines to reduce latency and improve inference speeds by 40%.
- Collaborate with data science leads to translate theoretical models into robust production code.
- Establish security protocols and compliance standards for AI governance and data privacy.
- Mentor junior engineers and architects, fostering a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of experience in software architecture, with a focus on AI/ML systems.
- Deep expertise in Python, C++, and distributed computing frameworks (TensorFlow, PyTorch, Apache Spark).
- Proven track record of designing large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.
- Experience with containerization technologies (Docker, Kubernetes) and microservices architecture.
- Strong understanding of quantum computing principles and their application to future AI workflows.