Knowledge Graph Engineering Manager & Backend Lead

Accenture; Miami (FL); Hybrid; USD 90,000 - 180,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure and services powering our AI-driven knowledge platform. You will work across the full back-end stack—architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph

Qualifications

• Minimum 5 years experience with Knowledge Graph data hydration and ontology-based data mapping.
• Minimum 5 years experience with graph databases and Elasticsearch/OpenSearch.
• Minimum 5 years hands-on experience with relational databases and query optimization.
• Minimum 5 years deploying and operating vector databases in production.
• Minimum 5 years Proficiency in Python or Java and designing REST APIs.
• Bachelor's degree or equivalent work experience.

Responsibilities

• Design, build, and operate data infrastructure powering the AI-driven knowledge platform.
• Architect APIs, build data pipelines, manage multi-modal databases, ensure reliability and performance.
• Hydrate data into Knowledge Graphs and optimize graph queries.
• Deploy, configure, and maintain vector DB infrastructure for embedding storage and semantic retrieval.
• Collaborate with ontologists and application teams to support Knowledge Graph implementations.

Skills

Graph knowledge

REST APIs

Python/Java

Data pipelines

Cloud basics

Education

Bachelor's degree or equivalent

Tools

GraphDB

Neo4j

Elasticsearch/OpenSearch

PostgreSQL

Python

Java

Docker

Kubernetes

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure and services powering our AI-driven knowledge platform. You will work across the full back-end stack—architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph