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)
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