Job Description
We are on the precipice of a technological revolution. As a leader in Project 2026, Nexus Horizon is building the foundational infrastructure for the next generation of artificial intelligence and smart urban systems. We are seeking a visionary Senior AI Architect to lead our engineering efforts and shape the digital landscape for the future.
In this role, you will bridge the gap between cutting-edge research and real-world application. You will design scalable neural architectures, optimize deep learning models for edge computing, and lead a team of elite engineers in delivering breakthrough solutions. If you are passionate about the future and possess the technical prowess to build it, we invite you to join us.
Responsibilities
- Architectural Design: Lead the end-to-end design of scalable, high-performance AI systems for the Project 2026 ecosystem.
- Model Development: Spearhead the research, development, and deployment of advanced Machine Learning and Deep Learning models.
- Team Leadership: Mentor a high-performing team of software engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Integration: Oversee the integration of AI solutions with legacy systems and new IoT infrastructure to ensure seamless interoperability.
- Performance Optimization: Continuously monitor and optimize model latency, throughput, and resource efficiency.
- Strategic Vision: Define the long-term technical roadmap for our 2026 initiatives and communicate complex technical concepts to stakeholders.
Qualifications
- Education: M.S. or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering with a specific focus on Machine Learning and Deep Learning.
- Technical Proficiency: Expertise in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Leadership: Proven track record of leading cross-functional technical teams and managing large-scale projects from conception to deployment.
- Innovation: Strong problem-solving skills and a demonstrated ability to work in fast-paced, ambiguous environments.