Job Description
Shape the Future of Intelligence
We are looking for a visionary Senior AI Architect to lead our cutting-edge research division. At Nexus Horizon Systems, we are not just building software for today; we are architecting the intelligent systems that will define the technological landscape of 2026 and beyond. If you are passionate about Generative AI, Large Language Models, and the ethical implications of advanced artificial intelligence, this is your opportunity to lead the charge.
We are looking for a visionary Senior AI Architect to lead our cutting-edge research division. At Nexus Horizon Systems, we are not just building software for today; we are architecting the intelligent systems that will define the technological landscape of 2026 and beyond. If you are passionate about Generative AI, Large Language Models, and the ethical implications of advanced artificial intelligence, this is your opportunity to lead the charge.
As a key technical leader, you will define the architectural strategy for our next-generation neural networks, ensuring scalability, security, and performance at the edge of innovation.
Responsibilities
- Design and deploy scalable machine learning infrastructure for next-gen applications and cloud environments.
- Lead the research and development of proprietary Large Language Models (LLMs) and generative algorithms.
- Collaborate with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Mentor junior engineers and define best practices for AI model training, evaluation, and deployment.
- Optimize model latency and throughput for real-time inference in high-volume systems.
- Stay ahead of industry trends in AI ethics, fairness, and regulatory compliance.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in machine learning, deep learning, or natural language processing.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed computing, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of shipping production-grade AI models.
- Strong leadership skills with experience managing technical teams or cross-functional projects.