Architecture Experience: 8+ years as a Architect delivering large-scale enterprise software or cloud optimization projects.
Healthcare Expertise: Deep understanding of the US Healthcare sector, ideally with transactional system experience in Pharmacy or PBM operations.
Compliance-Driven Design: Strong working knowledge of designing systems compliant with the HIPAA Security Rule and Federal security authorization boundaries.
Preferred Skills:
Architectural Blueprinting: Design end-to-end technical solutions for enterprise client implementations, ensuring strict data segregation in a multi-tenant environment.
Cross-Functional Collaboration: Partner directly with Technology, Security, and Business teams to align technical architecture with regulatory mandates.
Security Integration: Embed Federal and State compliance criteria directly into application, data, and infrastructure designs from day one.
System Boundary Design: Assist in defining technical System Boundaries to isolate and protect government client data workloads.
Architectural Blueprinting: Design end-to-end technical solutions for enterprise client implementations, ensuring strict data segregation in a multi-tenant environment.
Cross-Functional Collaboration: Partner directly with Technology, Security, and Business teams to align technical architecture with regulatory mandates.
Security Integration: Embed Federal and State compliance criteria directly into application, data, and infrastructure designs from day one.
System Boundary Design: Assist in defining technical System Boundaries to isolate and protect government client data workloads.
AI Skills:
All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities.
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.
Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and