Job Description
We are on the hunt for a visionary Senior AI Systems Architect to join our elite team at Apex Horizon. As we accelerate toward our 2026 roadmap, we need a technical leader who can bridge the gap between theoretical AI capabilities and scalable, real-world infrastructure.
In this role, you will design the neural architecture backbone for our next-generation products, ensuring our systems are not just functional, but revolutionary. You will work in a high-performance environment where code meets consciousness, pushing the boundaries of what is possible in the digital realm.
Why Join Apex Horizon?
- Work on cutting-edge AI integration for the 2026 era.
- Competitive equity and salary package.
- Flexible remote-first culture with HQ access in San Francisco.
Responsibilities
- Architect and deploy scalable machine learning infrastructure capable of handling exascale data processing.
- Lead the design of next-generation neural networks and transformer models for autonomous systems.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Define and implement best practices for model governance, ethics, and bias mitigation.
- Research emerging technologies and methodologies to maintain a competitive edge in the 2026 landscape.
- Optimize existing algorithms for latency, throughput, and energy efficiency.
Qualifications
- 10+ years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of natural language processing (NLP) and generative AI technologies.
- Master’s degree or PhD in Computer Science, AI, or a related technical field.
- Experience with cloud platforms (AWS, GCP, or Azure) and edge computing.