Hiring | Solution Architect | Remote | Contract

Please list the required skills and attributes for this role, including expected years of experience where applicable.

• 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.

Please list the preferred skills and attributes for this role, including expected years of experience where applicable.

• 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.

Please list 3-5 primary responsibilities for this role.

• 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.

What prior experience, industry background, or domain expertise are preferred for this role?

• 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.

o Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
o Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
o Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.