Job Description
Quantum Horizon AI is pioneering the technological landscape for 2026 and beyond. We are seeking a visionary Principal AI Architect to lead the architectural design of our next-generation Generative AI systems. You will be responsible for building scalable, high-performance infrastructure that powers autonomous agents and advanced language models.
We are looking for a thought leader who not only understands the current state of AI but can also anticipate the paradigm shifts of the future. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and Agentic workflows, we want to hear from you.
Responsibilities
- Architect and design end-to-end AI infrastructure capable of handling billions of tokens per day.
- Lead the technical strategy for fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering frameworks.
- Optimize model inference latency and cost-efficiency using quantization and edge deployment strategies.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
- Establish best practices for data privacy, security, and ethical AI usage in production environments.
- Mentor junior engineers and data scientists on advanced deep learning techniques.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 8+ years of experience in software engineering, with at least 4 years focused on AI/ML systems.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of deploying state-of-the-art models (e.g., GPT-4, Llama 3) in production.
- Experience with distributed systems, Kubernetes, and cloud platforms (AWS/GCP).
- Familiarity with Rust or Go for high-performance system development.