Job Description
We are not just building software for today; we are architecting the digital infrastructure for the year 2026 and beyond. At Quantum Horizon Systems, we are on a mission to redefine the boundaries of Artificial Intelligence, creating systems that are not only intelligent but also self-evolving.
We are seeking a visionary Principal AI Architect to lead our advanced research division. In this role, you will be the bridge between theoretical breakthroughs and practical deployment, ensuring our solutions remain at the cutting edge of the industry.
Why join us?
- Work on the next generation of Autonomous Agents and Generative Models.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to define the roadmap for the industry's future.
Responsibilities
- Lead Technical Vision: Define the long-term technical strategy for AI systems, specifically focusing on scalability and autonomy by 2026.
- System Architecture: Design and implement robust, fault-tolerant distributed AI systems capable of processing petabytes of real-time data.
- R&D Leadership: Guide a team of elite data scientists and engineers in exploring novel machine learning paradigms, including Reinforcement Learning and Neural Architecture Search.
- Model Optimization: Oversee the end-to-end lifecycle of AI models, from data ingestion and training to deployment and continuous retraining loops.
- Stakeholder Collaboration: Translate complex technical concepts into clear strategies for C-suite executives and product managers.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years in a senior AI/ML architecture role.
- Technical Stack: Deep expertise in Python, PyTorch/TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Domain Knowledge: Proven track record of deploying Large Language Models (LLMs) or computer vision systems at scale.
- Problem Solving: Ability to solve unstructured problems and innovate solutions for ambiguous challenges.