Job Description
Nexus Horizon Technologies is pioneering the future of artificial intelligence. We are seeking a visionary Generative AI Architect to lead the development of next-generation language models and creative AI systems. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of human-machine interaction.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in San Francisco.
In this role, you will be responsible for designing, training, and deploying large-scale generative models that drive our core product innovation. You will collaborate with a world-class team of researchers and engineers to solve complex challenges in natural language processing and synthetic data generation.
Responsibilities
- Design and architect scalable Generative AI models (LLMs, Diffusion, etc.) tailored for enterprise applications.
- Optimize model inference performance and reduce latency for real-time applications.
- Implement robust evaluation pipelines to measure model accuracy, safety, and fairness.
- Lead the research and integration of novel architectures from top academic papers into production environments.
- Mentor junior engineers and data scientists on best practices in deep learning and MLOps.
- Ensure compliance with ethical AI guidelines and data privacy regulations.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of experience in machine learning, deep learning, or NLP, with 3+ years in a lead or architect role.
- Extensive experience with Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale models (e.g., Llama, GPT, BERT) in production.
- Strong understanding of transformer architectures, attention mechanisms, and fine-tuning strategies.
- Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, GCP, Azure).