Job Description
Are you ready to shape the technological landscape of the future? Quantum Horizon Labs is seeking a visionary Senior AI Architect to spearhead our initiatives for the 2026 roadmap. We are building the next generation of generative intelligence and neural interfaces, and we need a technical leader who thrives on ambiguity and innovation.
In this role, you will define the architectural blueprint for systems that will redefine human-computer interaction. You will work at the intersection of deep learning, quantum computing, and advanced algorithms to solve complex problems before they arise. If you are passionate about pushing the boundaries of what is possible in AI, this is your opportunity to lead from the front.
In this role, you will define the architectural blueprint for systems that will redefine human-computer interaction. You will work at the intersection of deep learning, quantum computing, and advanced algorithms to solve complex problems before they arise. If you are passionate about pushing the boundaries of what is possible in AI, this is your opportunity to lead from the front.
Responsibilities
- Design and implement scalable AI infrastructure capable of supporting next-generation generative models and large-scale neural networks.
- Lead the architectural strategy for integrating quantum computing concepts into classical machine learning pipelines.
- Mentor and guide a high-performing team of ML engineers and data scientists to ensure best practices in code quality and system design.
- Translate high-level business requirements for the 2026 roadmap into robust, technical specifications.
- Optimize deep learning models for edge computing environments and real-time inference.
- Conduct research and proof-of-concept development for emerging AI paradigms.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of professional experience in software engineering and architecture, with at least 5 years specifically in AI/ML.
- Expert proficiency in Python, C++, and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Experience with quantum computing libraries and simulation tools is a significant plus.
- Proven track record of leading cross-functional teams and driving technical roadmaps.