Job Description
We are not just building for today; we are architecting the future.
As a Senior AI Visionary Engineer at Quantum Horizons Inc., you will be at the helm of the technologies set to revolutionize the world in 2026. We are seeking a pioneer who can bridge the gap between theoretical machine learning and tangible, scalable applications that will define the next era of human-machine collaboration.
In this role, you will define the technical standards for our upcoming generative AI platforms, ensuring they are robust, ethical, and capable of handling complex, real-world scenarios.
As a Senior AI Visionary Engineer at Quantum Horizons Inc., you will be at the helm of the technologies set to revolutionize the world in 2026. We are seeking a pioneer who can bridge the gap between theoretical machine learning and tangible, scalable applications that will define the next era of human-machine collaboration.
In this role, you will define the technical standards for our upcoming generative AI platforms, ensuring they are robust, ethical, and capable of handling complex, real-world scenarios.
Responsibilities
- Architect and deploy scalable deep learning models for autonomous systems and predictive analytics.
- Lead the technical vision for the 2026 roadmap, defining long-term architectural goals.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Conduct rigorous research to push the boundaries of neural network efficiency and accuracy.
- Mentor junior developers and foster a culture of continuous innovation within the engineering team.
- Ensure all AI implementations adhere to the highest standards of data privacy and ethical AI usage.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in AI/ML engineering, with a focus on Generative AI and Large Language Models.
- Expert proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure.
- Proven track record of leading high-impact projects from conception through to production deployment.
- Strong understanding of MLOps, data pipelines, and distributed systems.