Job Description
We are building the infrastructure for tomorrow. Horizon 2026 Innovations is seeking a visionary Quantum & AI Systems Architect to lead our research into hybrid computing models. In this role, you will bridge the gap between classical artificial intelligence and next-generation quantum computing paradigms to solve complex optimization problems.
If you are passionate about the future of technology and want to define the standards for 2026 and beyond, we want to hear from you.
Responsibilities
- Design and implement scalable hybrid AI architectures that leverage both classical and quantum computing resources.
- Lead the research and integration of emerging quantum algorithms (QAOA, VQE) into existing machine learning pipelines.
- Collaborate with data scientists and engineers to optimize model performance and reduce latency in distributed systems.
- Define technical roadmaps for quantum integration, ensuring feasibility and alignment with business objectives.
- Conduct code reviews, technical architecture planning, and mentor junior developers on advanced system design.
- Stay abreast of the latest advancements in quantum hardware and AI frameworks to drive innovation.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related field with a focus on Computational Intelligence.
- Minimum of 8 years of experience in software engineering and machine learning architecture.
- Deep proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, and Qiskit.
- Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
- Strong understanding of linear algebra, probability theory, and optimization theory.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.