Overview
We are seeking a Senior Artificial Intelligence Engineer to join a dynamic global organization focused on advancing AI capabilities at scale. This role entails working closely with a team to architect and deliver production-grade AI systems, particularly in a greenfield environment. The successful candidate will play a crucial role in establishing foundational architectural definitions and implementations for next-generation AI solutions.
Responsibilities
- Architect and deliver advanced AI/ML and Generative AI solutions that are scalable and secure.
- Design data ingestion pipelines and integrate vector databases alongside retrieval-augmented systems.
- Ship AI models via APIs, containers, or cloud-native services.
- Ensure engineering excellence through Git, CI/CD, automated ML testing, and Infrastructure as Code (IaC).
- Influence the technical direction of projects and mentor junior engineers.
- Collaborate cross-functionally to translate AI strategies into measurable business outcomes.
Requirements
- Expert level in Python, with experience in LangChain, Semantic Kernel, PyTorch, and TensorFlow.
- Hands-on experience in cloud delivery, specifically with Azure or AWS, as well as Terraform and ECS.
- Proven experience in building Retrieval-Augmented Generation (RAG) and Model-Centric Production (MCP) architectures.
- A minimum of 5 years in applied machine learning or artificial intelligence engineering roles.