Job Description
We are pioneering the technological frontier of 2026. At Apex Horizon, we are not just building software; we are architecting the intelligence infrastructure for the next decade. We are seeking a visionary AI & Quantum Systems Architect to lead our core research division.
In this role, you will define the protocols for next-generation neural networks and quantum computing applications. You will work at the intersection of predictive AI, generative models, and sustainable energy-efficient computing. If you are obsessed with the future and have a deep understanding of how artificial intelligence will evolve by 2026, we want to hear from you.
Why Join Us?
- Work on projects that define the standard for Future Tech and AI Evolution.
- Competitive equity package and remote-first flexibility.
- Access to state-of-the-art quantum hardware and real-time data pipelines.
Responsibilities
- Design and implement scalable AI architectures capable of processing exabyte-scale data streams for the year 2026 market.
- Lead the integration of quantum computing algorithms into traditional software workflows to enhance predictive modeling.
- Define the ethical guidelines and safety protocols for autonomous AI agents in commercial applications.
- Collaborate with cross-functional teams to translate futuristic concepts into deployable software solutions.
- Mentor junior developers in advanced machine learning techniques and system design.
- Optimize neural network models for low-latency, high-throughput environments.
Qualifications
- Master’s degree or PhD in Computer Science, Physics, or a related field.
- Minimum of 7 years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Expert proficiency in Python, Rust, and C++.
- Deep understanding of Quantum Mechanics applications in computing (Qiskit, Cirq experience preferred).
- Experience with Large Language Models (LLMs) and Generative AI frameworks.
- Strong problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.