Job Description
Architecting the Intelligence of Tomorrow.
We are Nexus Future Labs, a premier research organization dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and deployment of our next-generation autonomous systems.
In this pivotal role, you will move beyond traditional software engineering to shape the cognitive frameworks of our products. You will be responsible for building scalable, ethical, and high-performance neural architectures that redefine user interaction and automation. If you are passionate about the intersection of deep learning, distributed systems, and the future of human-AI collaboration, this is your opportunity to make history.
Responsibilities
- Design and implement state-of-the-art LLM pipelines optimized for real-time inference and massive data throughput.
- Architect scalable MLOps frameworks to automate the end-to-end lifecycle of model training, evaluation, and deployment.
- Lead the technical strategy for integrating Generative AI capabilities into core product ecosystems.
- Ensure model interpretability, safety, and ethical compliance across all proprietary systems.
- Optimize system latency and resource utilization on high-performance computing clusters.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of professional experience building production-scale machine learning systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Deep understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Proven track record of deploying models that handle high concurrency and complex edge cases.
- Strong understanding of ethical AI principles, bias mitigation, and responsible data governance.