Job Description
We are at the cusp of a technological revolution, and Nexus Horizon Labs is leading the charge. We are seeking a visionary Senior AI Systems Architect to define the technological roadmap for 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge theoretical AI research and scalable, production-grade infrastructure.
Why join us?
As a 2026 Visionary Architect, you will have the autonomy to experiment with next-gen technologies, mentor top-tier engineering talent, and build the systems that will define the future of human-machine interaction. You will work in a collaborative environment that prioritizes innovation, ethical AI, and high-impact delivery.
Responsibilities
- Design and architect scalable, high-performance AI infrastructure aligned with the 2026 strategic roadmap.
- Lead the integration of advanced Large Language Models (LLMs) and generative AI into core product ecosystems.
- Oversee the full machine learning lifecycle, from data ingestion and model training to deployment and monitoring.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
- Establish best practices for code quality, security, and ethical AI usage across the organization.
- Drive technical innovation by researching and evaluating emerging technologies (e.g., Quantum AI, Neuromorphic Computing) for future implementation.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of designing systems that handle massive scale and high concurrency.
- Strong understanding of MLOps, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.