Job Description
We are on a mission to define the technological landscape of 2026.
As a Senior AI Architect, you will spearhead the development of our next-generation generative AI platforms. You won't just be maintaining existing systems; you will be architecting the future of intelligent automation and human-computer interaction. We are looking for a visionary engineer who thrives on ambiguity and is passionate about pushing the boundaries of what is possible with Large Language Models and Agentic AI systems.
Join us to build the infrastructure that powers the next decade of innovation.
As a Senior AI Architect, you will spearhead the development of our next-generation generative AI platforms. You won't just be maintaining existing systems; you will be architecting the future of intelligent automation and human-computer interaction. We are looking for a visionary engineer who thrives on ambiguity and is passionate about pushing the boundaries of what is possible with Large Language Models and Agentic AI systems.
Join us to build the infrastructure that powers the next decade of innovation.
Responsibilities
- Architect and deploy scalable machine learning models for real-time inference across global edge networks.
- Research and prototype emerging technologies (e.g., Multimodal LLMs, Autonomous Agents) to stay ahead of industry trends.
- Lead a high-performance team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Optimize model latency, reduce inference costs, and ensure robust security and compliance standards.
- Collaborate with product leadership to define the technical roadmap and translate business needs into architectural solutions.
- Mentor junior engineers and establish best practices for MLOps and Model Governance.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of professional experience in Machine Learning and Deep Learning engineering.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Strong background in distributed systems, cloud architecture (AWS/GCP/Azure), and Kubernetes.
- Proven track record of leading cross-functional engineering teams through complex technical projects.
- Experience with MLOps pipelines (MLflow, Kubeflow) and productionizing models at scale.