Job Description
We are standing on the edge of a new era. As we look toward the year 2026, the convergence of Artificial Intelligence and Human-Centric Design will redefine the technological landscape. Quantum Leap Systems is seeking a visionary Principal AI Architect to spearhead our Research & Development division.
In this role, you won't just be building models; you will be architecting the future of intelligent interaction. You will lead a team of elite engineers in developing next-generation Generative AI and Autonomous Agent frameworks designed to scale for the demands of 2026 and beyond. If you are obsessed with pushing the boundaries of neural networks and want to define the standard for the industry, we want to meet you.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable Large Language Models (LLMs) and multimodal AI systems tailored for enterprise and consumer applications.
- Lead Research & Development: Spearhead research initiatives in reinforcement learning, neural architecture search (NAS), and generative adversarial networks (GANs).
- Optimize Performance: Drive innovations in model inference speed and latency reduction to ensure real-time processing capabilities.
- Production Deployment: Oversee the MLOps pipeline, ensuring models are robust, secure, and continuously updated without downtime.
- Technical Vision: Translate abstract business requirements into concrete technical architectures that align with the company's 2026 roadmap.
- Talent Development: Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 10+ years of experience in machine learning, deep learning, and natural language processing.
- Technical Stack: Expert proficiency in Python, PyTorch, TensorFlow, and the Hugging Face ecosystem.
- Scalability: Proven track record of deploying AI models into production environments handling millions of requests per second.
- System Design: Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Communication: Exceptional ability to communicate complex technical concepts to cross-functional teams and executive stakeholders.