Job Description
We are seeking a visionary Senior AI Architect to lead our 2026 Vision initiative, a cutting-edge project designed to redefine the boundaries of artificial general intelligence. At Quantum Horizon AI, we don't just predict the future; we engineer it. You will be at the forefront of developing the next generation of neural architectures that will power the autonomous systems of tomorrow.
In this high-impact role, you will architect scalable, robust, and ethical AI systems that operate at the intersection of deep learning, quantum computing, and human-computer interaction. We are looking for a problem solver who thrives in ambiguity and possesses the technical prowess to turn theoretical breakthroughs into production-ready reality.
Join us in shaping the technological landscape of 2026 and beyond.
Responsibilities
- Design and implement state-of-the-art deep learning architectures for our flagship 2026 roadmap.
- Lead a cross-functional team of ML engineers and data scientists to drive innovation and execution.
- Optimize model inference performance for high-volume, low-latency edge and cloud environments.
- Establish and enforce best practices for data privacy, AI ethics, and model transparency.
- Collaborate with product leaders to translate complex AI capabilities into user-centric solutions.
- Conduct rigorous research to stay ahead of industry trends and competitive landscape.
- Oversee the end-to-life cycle of AI models, from data ingestion to deployment and monitoring.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field.
- 10+ years of professional experience in Machine Learning, Deep Learning, or AI Research.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong experience with distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Proven track record of leading teams in a fast-paced, agile startup environment.
- Demonstrated ability to architect systems that handle millions of transactions efficiently.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.