Job Description
Are you ready to define the future of Artificial Intelligence?
At Nexus Horizon Labs, we are not just predicting trends; we are architecting them. We are looking for a visionary Senior AI Architect to lead our R&D efforts for 2026, focusing on the next evolution of Generative AI and Autonomous Systems.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our technology remains at the cutting edge of the industry. You will work directly with C-level executives to set the technical roadmap for our next-generation platforms.
At Nexus Horizon Labs, we are not just predicting trends; we are architecting them. We are looking for a visionary Senior AI Architect to lead our R&D efforts for 2026, focusing on the next evolution of Generative AI and Autonomous Systems.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our technology remains at the cutting edge of the industry. You will work directly with C-level executives to set the technical roadmap for our next-generation platforms.
Responsibilities
- Architect and deploy scalable machine learning infrastructure for next-gen models.
- Lead the research and implementation of advanced neural architectures (Transformers, Diffusion Models).
- Optimize model performance for real-time inference in high-traffic environments.
- Establish best practices for data governance, model transparency, and ethical AI usage.
- Collaborate with cross-functional teams to integrate AI capabilities into core product lines.
- Stay ahead of global technological trends to ensure our roadmap remains competitive.
- mentor junior engineers and foster a culture of innovation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in machine learning engineering and software architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale NLP or Computer Vision models.
- Strong understanding of distributed systems and cloud computing (AWS/GCP/Azure).
- Exceptional problem-solving skills and ability to work in a fast-paced, agile environment.
- Strong written and verbal communication skills.