Job Description
We are at the precipice of a technological revolution. Horizon Core Systems is currently recruiting for the 2026 Horizon Initiative, a top-secret R&D project aimed at redefining the boundaries of artificial intelligence and quantum computing. We are seeking a visionary Lead AI Architect to lead our engineering division and construct the digital infrastructure for the future.
In this pivotal role, you will not simply write code; you will architect the future. You will bridge the gap between deep learning, generative AI, and quantum mechanics to solve problems previously deemed impossible. If you are driven by a passion for innovation and have the technical prowess to lead a world-class team, we want to hear from you.
Why join the 2026 Initiative?
- Work on cutting-edge technology that will define the next decade.
- Competitive compensation and equity packages.
- Remote-first culture with flexible working hours.
- Access to state-of-the-art computing resources and research facilities.
Responsibilities
- Lead the architectural design for the 2026 Horizon Initiative, ensuring scalability and security.
- Develop and optimize advanced neural network architectures for high-performance computing environments.
- Collaborate with quantum physicists to integrate Quantum Machine Learning (QML) models into our core pipeline.
- Oversee the migration of legacy systems to the new 2026 core framework, ensuring zero downtime.
- Mentor and manage a team of 5+ senior AI engineers and data scientists.
- Establish best practices for ethical AI, data governance, and model interpretability.
- Conduct rigorous code reviews and technical architecture assessments.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related quantitative field.
- 7+ years of experience in machine learning, deep learning, or artificial intelligence engineering.
- Expert proficiency in Python, PyTorch, TensorFlow, and Keras.
- Proven experience leading engineering teams and managing cross-functional projects.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of large language models (LLMs) and generative AI principles.
- Experience with quantum computing frameworks such as Qiskit or Cirq is a significant plus.