AI Infrastructure Architect – Graph & Integration Systems

Digital Iron; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

Digital Iron in Boston is seeking a dedicated AI Infrastructure Engineer to lead the design of integration architectures and build knowledge graph systems for predictive maintenance across the heavy equipment ecosystem.

The ideal candidate will have deep technical expertise in distributed systems, with experience in graph databases and API integrations. This role will require building multi-step workflows and ensuring data accuracy while collaborating on various partnership models.

Qualifications

• Experience with graph databases like Neptune or Neo4j.
• Ability to design bidirectional API integrations for enterprise systems.
• Strong Python skills for data pipelines and application logic.

Responsibilities

• Design integration architecture for customer ERP systems.
• Build knowledge graph systems to transform parts catalogs.
• Implement agentic workflows using Amazon Bedrock.

Skills

Graph databases experience

Ability to model complex domain relationships

Strong Python skills

Experience with event-driven architectures

Knowledge of authentication models

Obsession with data accuracy

Tools

AWS Neptune

Gremlin

SPARQL

Job description

Digital Iron in Boston is seeking a dedicated AI Infrastructure Engineer to lead the design of integration architectures and build knowledge graph systems for predictive maintenance across the heavy equipment ecosystem.

The ideal candidate will have deep technical expertise in distributed systems, with experience in graph databases and API integrations. This role will require building multi-step workflows and ensuring data accuracy while collaborating on various partnership models.