Job Description
Quantum Horizon Systems is pioneering the next wave of artificial intelligence, specifically targeting the revolutionary capabilities expected in 2026.
We are seeking a visionary AI Architect to lead the design and deployment of advanced Generative AI and Large Language Model (LLM) infrastructures. In this role, you will bridge the gap between theoretical AI research and production-grade applications, ensuring our systems are scalable, secure, and ethically sound.
You will be at the forefront of implementing autonomous agents, multimodal AI systems, and next-generation RAG (Retrieval-Augmented Generation) pipelines. Join us in defining the standard for enterprise-grade AI solutions.
Responsibilities
- Design and architect scalable LLM infrastructures optimized for 2026 production standards.
- Lead the development of Agentic workflows and autonomous AI systems.
- Implement and fine-tune open-source models (e.g., Llama 3, Mistral) using advanced techniques like LoRA and PEFT.
- Oversee the integration of Multimodal AI capabilities (text, vision, audio) into core products.
- Establish robust MLOps pipelines for model training, validation, and deployment using Kubernetes and Docker.
- Ensure data privacy, security, and compliance with global AI regulations.
- Mentor a team of ML engineers and data scientists to foster a culture of innovation.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field (5+ years of experience).
- Deep expertise in Python, PyTorch, and TensorFlow/ JAX.
- Proven track record of deploying production-grade LLM applications.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization.
- Experience with Vector Databases (Pinecone, Milvus, Weaviate) and RAG architectures.
- Familiarity with prompt engineering and model evaluation frameworks.
- Excellent communication skills with the ability to translate technical concepts to business stakeholders.