Job Description
About Nexus AI
We are pioneering the next generation of Artificial Intelligence, defining the roadmap for 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our core research division, focusing on scalable, ethical, and transformative machine learning systems. If you are passionate about shaping the future of technology and want to work on projects that will define the decade, we want to hear from you.
The Role
In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing the architecture that powers our next-generation models, ensuring they are robust, scalable, and ready for the massive scale required by 2026.
Responsibilities
- Define and architect the technical vision for our 2026 AI roadmap, focusing on Large Language Models (LLMs) and multi-modal AI systems.
- Lead a team of elite Machine Learning Engineers and Data Scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams (Product, Engineering, Ethics) to ensure AI deployment is safe, transparent, and impactful.
- Optimize existing models for latency, throughput, and cost efficiency in production environments.
- Stay ahead of the curve by researching emerging paradigms such as Neuromorphic Computing and Quantum Machine Learning.
- Drive technical decision-making regarding cloud infrastructure, MLOps pipelines, and data governance.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Deep Learning.
- 5+ years of experience designing and deploying production-level AI/ML systems at scale.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning algorithms.
- Experience with MLOps tools (Kubeflow, MLflow, Airflow) and cloud platforms (AWS, GCP, Azure).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.