Apply on Employer Site

Digital Iron · 2 days ago

AI Infrastructure Engineer

Boston, MA

Full-time

Hybrid

Senior Level, Lead/Staff

Digital Iron is building the intelligent infrastructure that powers predictive maintenance and parts procurement automation across the heavy equipment ecosystem. They are seeking an AI Infrastructure Engineer to design and implement integration architectures that support diverse partnership models and ensure data accuracy across systems.

Artificial Intelligence (AI)Machine LearningSaaS

No H1B

Responsibilities

Own the strategy & design the framework to define partnership & customer models: Deep Embedded (white-label components), Best-of-Breed SaaS (standalone platform with APIs), Data Layer Only (via API)

Evaluate architectural tradeoffs across complexity, risk, scalability, time-to-market, and value capture for each pattern

Make build vs. buy decisions: direct API integrations vs. iPaaS middleware vs. embedded agents

Define authentication strategies across OAuth 2.0, certificate-based auth, and federated identity for different customer security models

Create deployment patterns that work across on-premise, cloud, and hybrid environments

Design for portfolio risk: no single integration pattern should represent more than 60% of implementations

Design and Build Bidirectional Integrations with Partner and Customer Data Systems - Systems include ERPs and telematics platforms

Build Structured Knowledge Systems - Transform customer data into relational based structure using an agreed upon approach, such as relational databases or graph databases, like AWS Neptune or Neo4J

Enrich Knowledge Systems - Help strategize and build ingestion pipelines that enrich underlying data such as by extracting relationships or combining disparate sources

Help Develop Data Retrieval and Navigation

Work with other members of the team, to develop methods to intelligently transverse the data for the larger systems. This could involve graph database traversal algorithms, agent-based retrieval and orchestration approaches using a variety of AI tools. Build tool functions that are used by retrieval processes or agents. These could include graph queries, customer API calls, or inventory checks

Evaluate Partnership Models

Work with founders to evaluate integration architectures across different customer & partnership strategies (deep embedded, best-of-breed SaaS, data layer only). Make build vs. buy decisions for integration infrastructure. Design authentication and deployment patterns that work across on-premise, cloud, and hybrid environments

Help Architect Event-driven Systems

Support automated workflows and implement multiple integration patterns (Direct API, middleware/iPaaS, embedded agents, webhooks) to support different customer and partnership models

Qualification

API integrationsPythonGraph databasesEvent-driven architecturesSQLOAuth 2.0IPaaS platformsData normalizationProblem solvingTeam collaborationAttention to detail