Job Description
Are you ready to architect the future of intelligence? Nova Horizon Dynamics is seeking a visionary Lead AI Architect to spearhead our research division. As we gear up for the technological paradigm shift of 2026, we need a pioneer who can design the neural frameworks of tomorrow.
In this high-impact role, you will move beyond standard machine learning to build self-evolving systems and predictive intelligence engines. You will define the architectural standards for our next-generation products, ensuring they are scalable, ethical, and exponentially smarter than current industry standards.
If you thrive on solving complex problems and want to leave a lasting legacy in the tech world, apply today.
Responsibilities
- Design and deploy scalable neural network architectures for autonomous systems and generative AI.
- Lead the R&D pipeline for predictive models, focusing on next-generation Large Language Models (LLMs).
- Architect data pipelines that ensure real-time processing and deep learning efficiency.
- Establish ethical guidelines and compliance standards for algorithmic decision-making.
- Collaborate with product teams to integrate advanced AI capabilities into consumer and enterprise solutions.
- Optimize model performance for edge computing and high-throughput environments.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related field.
- 7+ years of professional experience in software engineering and machine learning development.
- Expert proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch, JAX).
- Proven track record of implementing Natural Language Processing (NLP) and computer vision solutions.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure), and Kubernetes.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.
- Experience with quantum computing algorithms is a plus.