Architect - DevEx Strategy

Maplecroft

Burr Ridge (IL)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Maplecroft in Burr Ridge, Illinois, is hiring an Architect / Principal Engineer to own the technical vision and delivery of reusable platform building blocks and AI integration frameworks. The role includes designing end-to-end architectures, starter kits, and developer tooling.

The ideal candidate will ensure secure integrations and drive the adoption of AI across products, promoting best practices and minimizing friction for teams.

Qualifications

  • Experience in designing and delivering reusable platform building blocks.
  • Proficiency in common services like APIs, libraries, and micro frontends.
  • Strong understanding of AI integration and architecture.

Responsibilities

  • Own the technical vision and delivery of reusable platform blocks.
  • Design end-to-end reference architectures and developer-facing tooling.
  • Drive AI strategy and adoption across products.

Job description

The DevEx Strategy team creates the foundations and guardrails that let product and application teams move fast and safely. We design and maintain reusable starter kits, service and UI templates, runtime libraries, and the integration frameworks teams depend on. Our mission is to remove duplication, standardize best practices, and provide a plug-and-play approach for enabling capabilities — including AI — across AntiFraudAnalytics.

We’re hiring an Architect / Principal Engineer who can own the technical vision and delivery of reusable platform building blocks and an organization-wide AI integration framework. This person will design end-to-end reference architectures, starter kits, common services (APIs / jars / libraries), micro frontend patterns, and developer-facing tooling so that teams can adopt common capabilities with minimal friction. You will also drive the strategy and pragmatic adoption of AI across products by defining patterns for connecting domain data, orchestrating model calls, surfacing AI results in micro frontends, and ensuring secure, observable, and maintainable integrations.

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