Knowledge Graph Agentic AI Architect

Job overview

The Knowledge Graph Agentic AI Architect role is listed as hybrid, with the work location specified as Cambridge, MA and three days in the office. The posting gives a full-time preference at $130,000 per year and a contract-to-hire alternative capped at $90 per hour. The role designs AI and data architecture to support search, reasoning, analytics, and business process automation. The architect leads the design of knowledge graph platforms, agentic AI systems, and enterprise data platforms. The role builds scalable data pipelines and establishes governance, security, performance, observability, and AI reliability standards to support enterprise-wide adoption and improved knowledge discovery.

What you'll do

• Design and implement knowledge graph solutions using Neo4j, Amazon Neptune, or similar technologies
• architect relational and analytical data platforms
• develop ontologies, semantic models, taxonomies, and entity frameworks
• design agentic AI solutions using LLMs, multi-agent frameworks, RAG, Graph RAG, and autonomous workflows
• define data lakes, warehouses, vector databases, and metadata management
• build data ingestion and enrichment pipelines
• establish governance, security, performance, observability, and AI reliability standards
• adopt emerging AI, graph, and data technologies.

What we're looking for

Skills & competencies

knowledge graph architect

agentic ai

data architecture

knowledge graphs

llms

rag

graph rag

neo4j

amazon neptune

python

sql

cambridge ma

hybrid 3 days in office

$130k/year or up to $90/hour

Work arrangement

• Weekend coverage required

Why this role

12 years of data architecture, AI/ML, enterprise data platform, or data engineering experience required; bachelor’s or master’s degree required; full-time preference is $130K annually, with contract-to-hire alternative capped at $90/hour.

About the employer

PeopleNTech LLC is hiring for this role. Industry: Custom Computer Programming Services. Sector: 54.