Senior RAG Architect for Enterprise AI

MCI; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

MCI is seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms that power enterprise AI solutions. This role requires expertise in semantic search, vector databases, information retrieval, and Generative AI technologies.

The candidate will drive the development of scalable retrieval systems, integrate them with LLMs, and collaborate with AI engineers and product teams to deliver enterprise-grade AI capabilities with strong governance and

Qualifications

• Bachelor's degree in a related field.
• 5+ years of software engineering experience.
• Experience designing enterprise-scale Retrieval-Augmented Generation solutions.

Responsibilities

• Lead development of enterprise-grade retrieval and knowledge systems.
• Design scalable Retrieval-Augmented Generation architectures.
• Develop enterprise knowledge ingestion and indexing frameworks.
• Establish retrieval standards and best practices.
• Architect solutions that support AI-powered knowledge access.
• Drive improvements in retrieval quality and performance.

Skills

Python

Backend development

Semantic search

Vector databases

Information retrieval

LLMs

Mentoring

Cloud computing

Troubleshooting

Stakeholder management

Education

Bachelor's degree in CS/related field

Tools

Pinecone

Weaviate

Chroma

Milvus

LangChain

LlamaIndex

Haystack

Job description

MCI is seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms that power enterprise AI solutions. This role requires expertise in semantic search, vector databases, information retrieval, and Generative AI technologies.

The candidate will drive the development of scalable retrieval systems, integrate them with LLMs, and collaborate with AI engineers and product teams to deliver enterprise-grade AI capabilities with strong governance and