Source description
About the role
Architect
Openings : 1
Expected Start Date : ASAP
End Date : 6 months from start date
Location : This position does not require employees to work on-site on a regular basis. However, candidates must reside within a reasonable distance of a Client office (see attached office locations). This requirement is necessary to accommodate in-person interview requests and, if hired, candidates must be able to visit a Client office to collect their company laptop and complete government-issued ID verification.
Enterprise/Solution Architecture, API Integration, Batch & Event-Driven Architecture, Solution Design, Document Composition, Quadient Inspire, Print Platforms, Vendor Management, Azure Cloud, Legacy Modernization, TOGAF, AI Tools (Copilot), Healthcare/Insurance/Financial Services, Stakeholder Management.
Interview Process : 1-2 internal video interviews & 1 client round
Architect -
8–12+ years in enterprise/solution architecture or senior engineering roles.
3–5+ years supporting enterprise programs.
Experience translating architecture into detailed designs.
Strong integration pattern experience (API, batch, event-driven).
Experience with document composition or print platforms.
Vendor coordination and solution validation experience.
Strong communication and stakeholder collaboration skills.
Preferred Skills:
Experience with Quadient Inspire or other composition systems.
Familiarity with print vendor ecosystems.
Experience with AI-assisted migration approaches.
Cloud platform experience (Azure preferred).
TOGAF or similar certification.
Primary Responsibilities
Support target architecture definition for print migration.
Develop detailed solution designs aligned to standards.
Collaborate with engineering teams and vendors for implementation.
Participate in architecture and design reviews.
Identify and escalate risks and design gaps.
Domain:
Healthcare, insurance, or financial services background.
Experience modernizing legacy platforms.
AI Skills : All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
Maintain high usage of enterprise AI tools (Copilot, etc.).
Use AI for coding, documentation, and analysis.
Continuously adopt new AI capabilities."
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