Job Description
Are you ready to architect the future? Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence infrastructure. In 2026, we are not just adapting to change; we are defining it. You will be at the forefront of pioneering technologies that will shape the digital landscape for years to come.
As a key member of our elite R&D division, you will have the autonomy to design scalable systems, mentor top-tier talent, and implement cutting-edge algorithms. If you are passionate about pushing the boundaries of what is possible in machine learning and neural networks, this is your opportunity to make a significant impact.
Responsibilities
- Lead Architecture: Design and oversee the implementation of robust AI infrastructure and scalable machine learning models for enterprise applications.
- R&D Innovation: Drive research initiatives focused on future-proofing our technology stack for the 2026 landscape, including generative AI and predictive analytics.
- Team Leadership: Mentor a diverse team of data scientists, engineers, and researchers, fostering a culture of innovation and technical excellence.
- System Optimization: Continuously optimize existing algorithms for speed, accuracy, and computational efficiency, ensuring high performance under load.
- Strategic Planning: Define technical roadmaps and collaborate with product leadership to align AI capabilities with business objectives.
- Code Review: Conduct rigorous code reviews and architectural assessments to maintain high standards of software quality and security.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 8+ years of professional experience in AI architecture, deep learning, or machine learning engineering.
- Technical Skills: Expert proficiency in Python, TensorFlow, PyTorch, and CUDA. Strong understanding of large language models (LLMs) and natural language processing (NLP).
- Cloud Mastery: Extensive experience deploying models on major cloud platforms (AWS, GCP, or Azure) using containerization technologies like Docker and Kubernetes.
- Problem Solving: Demonstrated ability to solve complex, large-scale technical challenges with innovative solutions.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.