Job Description
Are you ready to define the future of intelligent systems? Nexus Horizon is seeking a visionary Principal AI Architect to lead the strategic direction of our groundbreaking Project 2026 initiative. As we look toward the year 2026, we are building the next generation of autonomous logistics and cognitive computing infrastructure. This is a rare opportunity to shape the technology stack that will power the enterprise of tomorrow.
In this pivotal role, you will bridge the gap between theoretical machine learning research and scalable production systems. You will be responsible for architecting the neural frameworks that will drive our core products, ensuring they are robust, ethical, and future-proof. If you thrive in a fast-paced, high-stakes environment and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Architect the Vision: Design and implement the core AI architecture for Project 2026, focusing on scalability, security, and real-time processing capabilities.
- Lead Technical Strategy: Define the technical roadmap and best practices for deep learning models, ensuring alignment with long-term business goals.
- Model Development: Spearhead the development of advanced neural networks, specifically in the areas of Natural Language Processing (NLP) and Computer Vision.
- Team Mentorship: Lead a team of senior data scientists and ML engineers, providing technical guidance, conducting code reviews, and fostering a culture of innovation.
- Collaboration: Work closely with cross-functional teams including product managers, software engineers, and UX designers to translate complex AI concepts into user-friendly applications.
- R&D: Stay ahead of the curve by researching emerging AI trends, open-source frameworks, and hardware accelerators to optimize performance.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architect or principal engineering role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong experience with distributed computing systems (Kubernetes, Apache Spark) and cloud platforms (AWS, GCP, Azure).
- Specialization: Proven track record in deploying large-scale machine learning models in production environments.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to solve ambiguous problems and drive technical decision-making in a dynamic environment.