Job Description
Join Nexus Horizon as a Future-Ready AI Architect and help define the technological landscape of 2026. We are at the forefront of the generative AI revolution, building the next generation of intelligent systems that will redefine human-computer interaction.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for architecting robust systems that handle massive data throughput while maintaining the highest standards of safety and ethical AI practices. This is an opportunity to shape the roadmap that will drive innovation for the next decade.
Responsibilities
- Architect Next-Gen AI Systems: Design the core infrastructure for large-scale generative models, focusing on scalability and fault tolerance.
- Lead the 2026 Roadmap: Collaborate with product leaders to define technical strategies that align with future industry trends in autonomous agents and multimodal AI.
- Optimize Performance: Continuously improve model inference speed and reduce latency in high-traffic production environments.
- Model Governance: Implement best practices for model monitoring, bias detection, and safety guardrails to ensure responsible AI deployment.
- Cross-Functional Leadership: Partner with data scientists, engineers, and product managers to translate complex AI capabilities into user-centric features.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of experience in software engineering with a strong focus on machine learning and deep learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (MLflow, Kubeflow).
- Cloud Expertise: Strong experience designing systems on AWS, GCP, or Azure with a focus on serverless and containerized architectures.
- Research Background: Deep understanding of transformer architectures, LLMs, and NLP techniques.