Job Description
Join the Architects of the Future.
Nexus Horizon AI is pioneering the next generation of generative intelligence. We are currently seeking a visionary Senior AI Architect to lead our 2026 roadmap, designing scalable, high-performance systems that redefine the boundaries of artificial intelligence. If you are passionate about building robust architectures for complex neural networks and want to shape the technological landscape of the coming decade, we want to meet you.
Why Join Us?
- Work on cutting-edge LLMs and multimodal AI systems.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in San Francisco.
- Opportunity to influence the company's technical direction for years to come.
Don't just predict the future; build it.
Responsibilities
- Architectural Leadership: Spearhead the design and implementation of our proprietary AI infrastructure for the 2026 release cycle, ensuring high availability and scalability.
- Model Optimization: Oversee the fine-tuning and optimization of large language models (LLMs) to achieve sub-millisecond latency in production environments.
- Technical Strategy: Define the long-term technical vision, selecting the right tools and frameworks (e.g., TensorFlow, PyTorch, Ray) to drive innovation.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-friendly products.
- R&D Innovation: Experiment with emerging paradigms in reinforcement learning and edge AI to stay ahead of industry trends.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of experience in software engineering and deep learning, with at least 2 years in a lead architectural role.
- Technical Skills: Proficiency in Python, C++, and experience with distributed computing systems (Kubernetes, Docker).
- AI Expertise: Deep understanding of transformer architectures, NLP, and generative models.
- Problem Solving: Demonstrated ability to troubleshoot complex performance bottlenecks in large-scale systems.