Job Description
Are you ready to define the technological landscape of 2026 and beyond? Quantum Horizon Labs is seeking a visionary Senior AI Architect to lead our next-generation autonomous agent initiatives. We are not just building software; we are architecting the future of human-AI interaction.
In this pivotal role, you will spearhead the development of Large Language Models (LLMs) and generative AI frameworks designed to scale for the demands of the year 2026. You will work at the intersection of deep learning, natural language processing, and ethical AI governance to build systems that are not only powerful but also responsible.
Responsibilities
- Architect and Deploy: Design and implement scalable LLM-based solutions for complex enterprise challenges using state-of-the-art transformer architectures.
- Lead Research: Spearhead the research and implementation of Retrieval-Augmented Generation (RAG) systems to enhance knowledge retrieval accuracy.
- Optimize Performance: Engineer models for high-throughput inference, ensuring low latency and optimal resource utilization in production environments.
- Ethical AI: Establish rigorous best practices for AI safety, bias mitigation, and data privacy compliance.
- Mentorship: Guide and mentor a high-performing team of data scientists and machine learning engineers in advanced AI techniques.
- Strategic Planning: Define the technical roadmap for AI capabilities, aligning them with the company's vision for 2026.
Qualifications
- Education: MS or PhD in Computer Science, Artificial Intelligence, or a related field (5+ years of industry experience preferred).
- Technical Mastery: Expert proficiency in Python, PyTorch, and TensorFlow; deep experience with Hugging Face and model libraries.
- LLM Expertise: Proven track record of fine-tuning, deploying, and optimizing large language models.
- Cloud Experience: Strong background in deploying ML systems on cloud platforms (AWS, GCP, or Azure).
- MLOps: Solid understanding of MLOps, CI/CD pipelines, and model lifecycle management.
- Problem Solving: Demonstrated ability to tackle unstructured problems and translate business needs into technical solutions.