Job Description
Nexus Horizon is at the forefront of the next industrial revolution. We are seeking a visionary Lead AI Architect to spearhead our initiatives for 2026. As we stand on the precipice of autonomous intelligence, you will be responsible for designing the core frameworks that will power our next-generation generative models and neural networks.
In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will define the technical vision for our AI infrastructure, ensuring our platforms are robust, secure, and capable of handling the demands of the future. Join us in shaping the architecture of tomorrow.
Responsibilities
- Architectural Leadership: Design and implement scalable, state-of-the-art deep learning architectures for our 2026 product roadmap.
- R&D Strategy: Lead research initiatives to explore emerging AI paradigms, including Large Language Models (LLMs) and reinforcement learning.
- System Optimization: Oversee the end-to-end ML lifecycle, from data ingestion and feature engineering to model training, serving, and deployment.
- Team Mentorship: Mentor a team of senior data scientists and engineers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex business requirements into technical solutions.
- Performance Engineering: Ensure high availability and low latency for our AI inference engines under heavy load.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 5+ years of experience in software engineering or machine learning, with at least 2 years in a senior or lead technical role.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow, with strong proficiency in C++ for high-performance computing.
- Infrastructure: Extensive experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes).
- Problem Solving: Proven track record of solving complex, unstructured problems in large-scale distributed systems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.