Job Description
Join the Architects of Tomorrow. Nexus Horizon Tech is at the forefront of defining the digital infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the development of next-generation neural architectures and quantum-ready machine learning systems. If you are passionate about pushing the boundaries of what is possible in AI and building scalable, future-proof solutions, we want to hear from you.
In this role, you will bridge the gap between theoretical research and production-grade engineering. You will design robust systems capable of handling the immense data loads of future applications, ensuring our platforms remain at the bleeding edge of innovation.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 landscape.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in SF.
- Access to state-of-the-art computing resources and research.
Responsibilities
- Design and deploy scalable AI models and neural networks optimized for high-throughput environments.
- Lead architectural strategy for integrating quantum computing concepts into classical ML workflows.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical roadmaps.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Optimize existing systems for latency, accuracy, and resource efficiency.
- Stay abreast of emerging trends in artificial intelligence, distributed systems, and edge computing.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum of 7 years of professional experience in AI/ML engineering and software development.
- Deep expertise in Python, PyTorch, TensorFlow, and modern distributed systems frameworks (Kubernetes, Docker).
- Strong understanding of Machine Learning algorithms, Deep Learning architectures, and MLOps best practices.
- Proven track record of delivering production-grade AI systems.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.