Job Description
Are you ready to define the technology landscape of 2026?
Quantum Horizon Technologies is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI Architect to lead our research division, designing systems that will power the digital world of the future. This is a unique opportunity to work on cutting-edge projects that bridge the gap between theoretical AI and practical, scalable applications.
Why Join Us?
• Future-Forward Impact: Your work will directly shape the architecture of the AI systems used by millions in 2026.
• Top-Tier Compensation: Competitive salary and equity package.
• Flexible Environment: Hybrid work model based in the heart of San Francisco.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable, distributed AI architectures capable of handling massive datasets and complex computations.
- Lead Research & Development: Spearhead initiatives in Large Language Models (LLMs), Generative AI, and Reinforcement Learning to solve unsolved problems.
- Optimize Performance: Engineer high-performance inference pipelines ensuring low latency and high throughput for real-time applications.
- Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and engineers to translate technical requirements into robust engineering solutions.
- Define Technical Roadmaps: Establish best practices, coding standards, and architectural guidelines for the AI engineering department.
- Stay Ahead of Trends: Continuously research emerging technologies and methodologies to keep Quantum Horizon at the forefront of the industry.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural or lead role.
- Core Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Specialization: Strong background in Natural Language Processing (NLP), Computer Vision, or Deep Reinforcement Learning.
- System Design: Experience designing distributed systems and cloud-native AI solutions (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.