Job Description
We are at the precipice of a new era in artificial intelligence. Nexus Horizon AI is building the foundational models that will power enterprise solutions in 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our Generative AI division, focusing on scalable LLMs, multimodal systems, and agentic workflows.
If you are passionate about pushing the boundaries of what AI can achieve and want to shape the technical roadmap for the next generation of intelligent systems, we want to hear from you.
Responsibilities
- Architect LLM Infrastructures: Design and implement robust, scalable pipelines for training and deploying Large Language Models and diffusion models.
- RAG Strategy: Spearhead the development of Retrieval-Augmented Generation architectures to enhance model accuracy and reduce hallucinations.
- Model Optimization: Focus heavily on inference latency reduction, quantization, and model pruning to ensure real-time performance in production environments.
- Technical Leadership: Mentor a team of junior data scientists and ML engineers, conducting code reviews, and establishing best practices for AI safety and ethics.
- System Integration: Collaborate with product and engineering teams to integrate cutting-edge AI capabilities into consumer-facing products.
- Research & Development: Stay ahead of the curve on emerging AI paradigms, contributing to internal research papers and patents.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering or data science, with at least 3 years in a senior leadership role focusing on AI/ML.
- Technical Stack: Expert proficiency in Python, PyTorch, and TensorFlow. Deep understanding of Transformer architectures and attention mechanisms.
- Cloud Native: Proven experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
- Data Engineering: Strong background in data preprocessing, feature engineering, and working with vector databases (e.g., Pinecone, Milvus).
- Communication: Excellent ability to translate complex technical concepts for cross-functional stakeholders.