Job Description
Welcome to the future of technology. Nexus Horizon Labs is a cutting-edge research organization dedicated to defining the digital landscape of 2026 and beyond. We are looking for a Senior AI Architect to lead the charge in developing autonomous agents and generative intelligence systems.
In this role, you will not just write code; you will architect the very fabric of how machines learn and interact with the world. If you are passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI), we want to hear from you.
Responsibilities
- Lead AI Infrastructure Design: Design and oversee the deployment of scalable neural network architectures designed for high-performance computing environments.
- Research & Development: Drive R&D initiatives in Large Language Models (LLMs) and reinforcement learning to improve model autonomy and accuracy.
- System Optimization: Continuously optimize model inference speeds and reduce computational costs across distributed systems.
- Ethical AI Implementation: Establish and enforce best practices for ethical AI, ensuring fairness, transparency, and accountability in algorithmic decision-making.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence within the R&D division.
- Strategic Planning: Collaborate with executive leadership to define the technical roadmap for future AI product releases.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Experience: Minimum of 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior leadership or architectural capacity.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Apache Spark, Kubernetes).
- Model Architecture: Proven track record of designing and training complex models, including Transformers, GANs, and Diffusion models.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.