Job Description
We are seeking a visionary Senior AI Architect to lead our advanced generative intelligence initiatives. At Nexus Horizon, we are building the core infrastructure for the 2026 AI era, focusing on scalable, efficient, and ethical Large Language Models (LLMs) and Autonomous Agents.
In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our AI systems are robust, secure, and capable of handling billions of queries daily. Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible in artificial intelligence.
Why Join Us?
- Work on cutting-edge Generative AI technologies.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in NYC.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art transformer-based models for enterprise applications.
- System Architecture: Architect scalable MLOps pipelines to manage the full lifecycle of machine learning models from experimentation to production.
- Performance Optimization: Implement techniques such as quantization, pruning, and distillation to reduce latency and inference costs.
- Deployment: Lead the deployment of AI solutions on cloud platforms (AWS/GCP) with a focus on high availability and fault tolerance.
- Collaboration: Partner with product managers and data scientists to define technical requirements and roadmaps.
- Ethics & Compliance: Ensure AI models adhere to bias mitigation guidelines and data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of experience in software engineering with a focus on Machine Learning or AI.
- Programming: Proficiency in Python, C++, or Java with deep knowledge of libraries such as PyTorch, TensorFlow, or JAX.
- Frameworks: Extensive experience with Hugging Face, LangChain, and Vector Databases (Pinecone, Milvus).
- Cloud Skills: Strong expertise in cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.