Job Description
Are you ready to architect the future of technology?
Quantum Horizon Systems is at the forefront of the 2026 revolution, building the next generation of Artificial General Intelligence (AGI) and autonomous agents. We are seeking a visionary Senior AI Architect to lead our engineering division in defining the technical roadmap for the year 2026 and beyond.
If you are passionate about pushing the boundaries of what's possible in machine learning, quantum computing integration, and ethical AI alignment, we want to hear from you.
Why Join Us?
- Impact: Shape the core architecture of systems that will define the next decade of human-computer interaction.
- Autonomy: Work in a fully remote-first environment with a global team of elite engineers.
- Compensation: Competitive salary, equity package, and comprehensive benefits.
Responsibilities
- Define the 2026 Technical Roadmap: Lead the strategic vision for AI infrastructure, focusing on scalability, security, and AGI readiness.
- Design Advanced Architectures: Architect robust, fault-tolerant systems for large-scale LLM deployment and edge computing.
- Lead Model Development: Oversee the research and implementation of proprietary neural network architectures.
- Cross-Functional Leadership: Collaborate with product, security, and research teams to translate technical concepts into production-ready features.
- Optimization & Efficiency: Drive performance improvements for inference latency and training efficiency using cutting-edge hardware.
- AI Safety & Ethics: Implement guardrails and alignment protocols to ensure safe deployment of autonomous agents.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and large-scale system design.
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
- AI Expertise: Proven track record of designing and deploying Large Language Models (LLMs) and generative AI solutions.
- Future-Ready Skills: Experience with quantum computing interfaces, edge AI deployment, or federated learning is a major plus.
- Leadership: Demonstrated ability to mentor senior engineers and lead high-performance teams.