Senior AI Engineer

Senior AI Engineer – RAG / Azure AI Platform (Consultancy Assignment)

Role Overview

We are looking for a Senior AI Engineer to join the Digital Innovation / AI Center of Excellence team during the Build and early Run phases of the service. You will work closely with the AI Platform Architect and Solution Architect to transform the high-level design into a production-ready, scalable, and maintainable system.

Responsibilities

You will be responsible for end-to-end implementation of the AI search solution, including:

• Design and implementation of a full RAG pipeline (retrieval, reranking, LLM orchestration, citation handling)
• Development of ingestion pipelines (CMS & document sources such as SharePoint), including chunking and embedding strategies
• Implementation of security trimming and access control propagation (ACL-based filtering)
• Design of prompt templates, guardrails, and safety mechanisms
• Setup of evaluation frameworks to measure search and LLM performance
• Infrastructure-as-Code using Terraform for Azure resources
• Deployment automation using Azure DevOps pipelines and Helm charts on AKS
• Operational tuning and optimization during early production run

Tech Environment

• Azure OpenAI, Azure API Management, Azure AI Content Safety
• Kubernetes (AKS)
• Vector databases / search index (open-source/self-hosted)
• Python-based AI/ML pipelines
• Terraform, Helm, Azure DevOps
• RAG frameworks and LLM orchestration tooling

Engagement Model

• Assignment via consultancy (freelancer or contractor via our organization)
• Hybrid enterprise environment with strong engineering ownership
• Long-term engagement (initial period with possible extension up to ~3+ years equivalent scope)