Job Description
Are you ready to architect the future of technology?
Nexus Horizon Labs is a pioneering research and development firm dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation autonomous systems and quantum-integrated machine learning models.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our solutions remain at the forefront of innovation. If you are passionate about solving complex problems and building the infrastructure for tomorrow, we want to hear from you.
Responsibilities
- Architect Scalable AI Infrastructure: Design and implement robust, fault-tolerant architectures for large-scale neural networks and distributed computing systems.
- Lead Technical Strategy: Define the technical roadmap for our 2026 product lines, integrating emerging technologies like quantum computing and edge AI.
- Mentorship & Collaboration: Guide a team of senior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Research & Development: Evaluate and prototype cutting-edge algorithms to enhance model efficiency, accuracy, and interpretability.
- System Optimization: Oversee the deployment pipeline, ensuring models are optimized for latency, throughput, and resource consumption.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and product management teams.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering and 5+ years in AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Quantum Insight: Familiarity with quantum computing principles or experience in hybrid classical-quantum algorithms is a plus.
- Leadership: Demonstrated history of leading high-performance engineering teams and delivering complex projects on time.
- Problem Solving: Exceptional ability to troubleshoot complex system failures and drive architectural decisions under pressure.
- Communication: Strong verbal and written communication skills, with the ability to influence cross-functional teams.