Job Description
Are you ready to architect the future of intelligence? Apex Horizon Technologies is seeking a visionary Next-Gen AI Architect to lead our infrastructure for 2026 and beyond. We are building the backbone of a self-evolving AI ecosystem, and we need a leader who can bridge the gap between theoretical AI potential and scalable, production-grade engineering.
In this role, you will not just maintain current systems; you will design the architectural frameworks that will define the next generation of machine learning applications. Join us in shaping the AI landscape of tomorrow.
Why Join Us?
- Work on cutting-edge projects that define the industry standard for 2026.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a collaborative office environment.
- Access to state-of-the-art computing resources and research grants.
Responsibilities
- Design and deploy scalable, fault-tolerant AI infrastructure capable of handling exascale computing workloads.
- Lead the architectural strategy for next-generation Large Language Models (LLMs) and generative AI frameworks.
- Optimize GPU clusters and edge computing networks for real-time inference processing.
- Establish security and compliance protocols for autonomous AI systems.
- Collaborate with cross-functional teams to integrate ethical AI principles into the core development lifecycle.
- Conduct technical research to identify emerging trends in quantum computing and neuromorphic hardware.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in software architecture, with a focus on machine learning systems.
- Deep proficiency in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
- Expert knowledge of cloud architecture (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
- Experience designing high-availability systems and managing large-scale data pipelines.
- Strong understanding of AI ethics, bias mitigation, and responsible AI deployment.