Solution Architect @ lftechnology

Leverage deep healthcare domain expertise to design, govern, and deliver enterprise-scale clinical, billing, and claims platforms. This role owns solution architecture across Power Platform, Azure integration services, APIs, and healthcare billing systems, ensuring secure, compliant, high-performance solutions that meet both business and regulatory requirements.

Key Responsibilities

• Solution Architecture & Design: Architect enterprise healthcare platforms combining Power Platform (Canvas & Model-Driven), Dataverse, PowerApps Component Framework and Azure cloud services for high-performance, scalable, and secure solutions; Translate complex clinical workflows and pharmacy operations into modular, maintainable digital systems; Design full-stack integrations with REST APIs, Azure Functions, Logic Apps, and third-party payer/EHR systems; Develop and maintain structured data models and enforce schema validation in Dataverse to support clinical codes, visit types, fee schedules, and healthcare workflow processes; Ensure HIPAA compliance, PHI security, RBAC, and auditability across all layers of the solution.
• End-to-End Ownership: Lead full lifecycle delivery from requirements elicitation, technical architecture, and solution design to implementation, testing, deployment, and production stabilization; Own clinical encounter workflows, billing logic, and claims-ready payloads, including CPT/HCPCS mapping, modifier assignment, insurance eligibility, prior authorization, and ABN handling; Optimize real-time payment workflows for copay, out-of-pocket, and prior authorization processes within Canvas Apps and backend APIs; Serve as technical escalation point for cross-layer dependencies spanning UI, Dataverse, PCF components, Azure services, and payer integrations.
• AI & Copilot Innovation: Architect AI-driven clinical and operational workflows leveraging Azure AI Foundry Services, OpenAI/GenAI, and low-code AI integrations within Power Platform; Implement predictive coding, automated claims validation, modifier recommendations, and eligibility checks to reduce errors and accelerate reimbursement; Integrate AI capabilities to enhance clinical decision support, patient triage, and workflow automation in both staff and patient-facing applications; Continuously evaluate emerging AI/ML technologies to optimize operational efficiency, claim accuracy, and patient outcomes.
• Team Leadership & Mentorship: Lead and mentor distributed engineering teams on Power Platform best practices, full-stack development, PCF component design, Azure integration, and healthcare workflow modeling across multiple time zones; Conduct architecture reviews, code reviews, and performance tuning sessions to enforce high-quality, modular, and scalable solutions; Guide teams on delegation-friendly Dataverse queries, lazy loading, Named Formulas, API orchestration, and claims workflow automation; Foster a culture of technical excellence, cross-domain knowledge sharing, and adherence to healthcare compliance standards.
• Collaboration & Alignment: Collaborate with clinicians, pharmacy staff, DME coordinators, operational leads, and administrative stakeholders to translate real-world healthcare workflows into digital solutions; Facilitate workshops and technical reviews to align business requirements with architecture, compliance standards, and technical feasibility; Ensure workflow standardization, consistent service identifiers, CPT/HCPCS mapping, and payload accuracy across modules; Integrate clinical and billing systems with enterprise reporting, payer-specific logic, and claims processing platforms.
• Microsoft Product Team Collaboration: Partner with Microsoft engineering, Power CAT, and FastTrack teams to validate solution architecture, adopt platform best practices, and influence roadmap decisions; Represent the organization at Microsoft conferences and community events as a subject matter expert in healthcare digital transformation on Power Platform and Azure; Provide guidance on advanced Power Platform patterns, PCF extensibility, Azure cloud design, and enterprise-grade compliance architecture; Stay current on Power Platform, Azure, AI/ML, and healthcare technology innovations to inform long-term solution strategy.
• Continuous Improvement: Optimize application performance, operational efficiency, and workflow automation across clinical, billing, and DME systems; Implement CI/CD pipelines, DevOps automation, versioned managed solutions, and automated testing to ensure reliability and reproducibility; Lead data validation, payload standardization, and fee schedule updates to reduce errors, improve claim accuracy, and ensure regulatory compliance; Evaluate and adopt emerging technologies (AI, ML, Azure cloud services, integration patterns) to enhance user experience, clinical throughput, and reimbursement outcomes.