Job Description
Join the Future of Intelligence. Nexus Horizon Labs is pioneering the next generation of artificial intelligence, pushing the boundaries of what is possible in 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and implementation of scalable, high-performance machine learning systems. If you are passionate about building the architecture that powers tomorrow's technology, we want to hear from you.
Why Join Us?
- Impact at Scale: Work on core infrastructure that powers millions of users.
- Future-Proof Technology: Access to cutting-edge GPUs and next-gen model architectures.
- Competitive Compensation: Industry-leading salary, equity, and benefits package.
Role Overview:
As a Senior AI Architect, you will bridge the gap between theoretical research and production deployment. You will oversee the full machine learning lifecycle, from data ingestion and model training to inference optimization and deployment. You will mentor junior engineers and collaborate with product teams to define technical roadmaps.
Responsibilities
- Architect and deploy scalable machine learning pipelines and infrastructure.
- Design and fine-tune large language models (LLMs) and generative AI agents for enterprise applications.
- Optimize model inference latency and reduce computational costs using techniques like quantization and pruning.
- Establish best practices for MLOps, data governance, and model monitoring.
- Collaborate with cross-functional teams to integrate AI solutions into existing product ecosystems.
- Stay at the forefront of AI research and evaluate emerging technologies for implementation.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with a focus on NLP or Computer Vision.
- Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong understanding of distributed systems, cloud computing (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Experience with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, Milvus).
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.