Our Client, a Business Solutions company, is looking for a AI Senior Engineer – LLMOps & MLOps for their Remote location.
 

Responsibilities:

This is a high-stakes, execution-focused role within the Transformation Office. We are looking for a day-one engineer to own the production lifecycle of our AI initiatives. Your mission is to build the automated infrastructure that bridges our legacy data systems with modern AWS and Azure AI services.

Responsible for the Ops of AI: Ensuring that LLM applications, RAG pipelines, and traditional ML models are deployable, observable, and scalable in a multi-cloud environment.

Multi-Cloud Pipeline Execution: Build and maintain automated CI/CD and CT (Continuous Training) pipelines across AWS (SageMaker/Bedrock) and Azure (AI Studio).

LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, P...