Job Description
Are you ready to shape the technological landscape of the year 2026 and beyond? Horizon 2026 is a pioneering research and development firm dedicated to building the foundational infrastructure for Artificial General Intelligence and Quantum-Enhanced computing. We are seeking a visionary Senior AI Architect to lead our engineering division, designing systems that are not just scalable, but sentient and adaptive.
In this role, you won't just maintain legacy systems; you will architect the future. You will work at the intersection of deep learning, neural engineering, and next-generation cloud infrastructure to solve problems that don't yet exist.
Why join us?
- Work on projects that define the roadmap for the next decade.
- Competitive compensation package with equity options.
- Access to state-of-the-art computing resources and quantum hardware.
- A remote-first culture with a focus on high-performance engineering.
Responsibilities
- Design and implement scalable, fault-tolerant AI architectures capable of processing real-time quantum data streams and massive datasets.
- Lead the research and development of Neural Network models bridging the gap between narrow AI and Artificial General Intelligence (AGI).
- Define technical roadmaps and architectural standards for the Horizon 2026 product suite.
- Collaborate with cross-functional teams of data scientists, engineers, and futurists to integrate AI solutions into core workflows.
- Mentor junior engineers and establish best practices for AI ethics, safety, and transparency.
- Optimize existing models for inference speed and energy efficiency in edge computing environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Applied Mathematics, or a related field with a focus on AI.
- 10+ years of professional experience in software engineering with a specific focus on Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Strong understanding of mathematical foundations, including Linear Algebra, Calculus, and Probability Theory.
- Experience with distributed systems, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes).
- Demonstrated ability to lead technical teams and drive complex architectural decisions.
- Familiarity with quantum computing principles is a major plus.