Job Description
Nexus Future Labs is pioneering the next generation of autonomous intelligence. As we move toward 2026, we are seeking a visionary Senior AI Architect to design and implement the core infrastructure for our next-gen Generative AI suite. You will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade software. This is a high-impact role for a technical leader who wants to define the standard for AI safety, efficiency, and creativity in the coming years.
Join us in shaping the future of digital cognition.
Join us in shaping the future of digital cognition.
Responsibilities
- Architect and deploy scalable Large Language Models (LLMs) and multimodal AI systems optimized for low-latency inference.
- Design and implement agentic workflows that enable autonomous AI agents to perform complex, multi-step reasoning tasks.
- Lead the end-to-end machine learning lifecycle, from experimental research to MLOps implementation and monitoring.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products and enterprise solutions.
- Establish best practices for model governance, bias mitigation, and ethical AI usage.
- Optimize model training pipelines to reduce compute costs and energy consumption.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
- 5+ years of professional experience in machine learning, deep learning, or artificial intelligence engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow, with deep understanding of neural network architectures (Transformers, GNNs, Diffusion Models).
- Proven experience deploying LLMs in production environments using cloud infrastructure (AWS, GCP, or Azure).
- Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.