Automation & AI Solution Designer-2

MediCard Phils., Inc. is one of the country's leading HMO and the only HMO founded and run by Doctors. Since its inception, the concept of service-oriented total health care has been the molding ideal of MediCard.  The competition is vast, and the benefits being offered by the competitors are tempting.  However, MEDICard has taken the lead in providing innovative and productive ideas that cut down the cost of health maintenance without compromising its quality.

MediCard now boasts of more than half a million members and over 54,000 accredited doctors in over 1,000 hospitals and clinics nationwide. It also operates 16 MediCard free-standing clinics that provide services at par with those offered by hospitals minus the confinement.

MediCard is currently looking for assertive, dynamic and energetic individuals to fill up the following vacancy:

The Solution Designer (Automation & AI) is responsible for translating business requirements, process insights, and transformation objectives into automation-ready and AI-enabled solution designs. The role bridges business intent and technical execution by producing scalable, compliant, and implementation-ready designs for automation, intelligent document processing, AI-assisted workflows, and system integrations. This role ensures that automation and AI initiatives are well-designed upfront, reducing rework, delivery risk, and adoption issues while accelerating value realization across MediCard’s 2026–2028 Transformation roadmap.

Roles & Responsibilities
Process Architecture and Solution Designing
o Translate approved business requirements, process designs, and transformation initiatives into automation-ready solution designs (RPA, AI, IDP, integrations).
o Define end-to-end solution architectures, including workflow logic, exception handling, data inputs/outputs, AI components, and system touchpoints.
o Design solutions that are scalable, secure, and compliant with MediCard’s architecture, data governance, and regulatory standards.

Automation & AI Enablement
o Design AI-assisted use cases such as document recognition, classification, validation, chatbot flows, and intelligent routing.
o Work closely with AI Specialists to ensure feasibility, explainability, accuracy, and responsible AI usage in solution designs.
o Ensure solutions align with enterprise automation standards, reusable components, and platform best practices.

Delivery Enablement & Governance
o Produce clear, complete, and build-ready design artifacts (solution blueprints, flow diagrams, user stories, acceptance criteria).
o Serve as the single point of accountability for solution design quality across automation initiatives.
o Support Automation Developers, Integration Engineers, QA, and UAT teams by clarifying design intent and resolving design-related issues.
o Participate in design reviews to ensure alignment with compliance, risk, and audit requirements.

Stakeholder & Cross-Functional Collaboration
o Partner with Business Analysts, Process Engineers, and CI Leads to ensure designs reflect optimized and automation-ready processes.
o Collaborate with IT, Architecture, Data Governance, and Security teams to validate technical and data compliance.
o Act as a translator between business stakeholders and technical delivery teams, ensuring shared understanding and execution clarity.

Continuous Improvement
o Standardize solution design templates, patterns, and documentation practices across the Automation & AI COE.
o Identify opportunities to reuse components and improve design efficiency across initiatives.
o Incorporate lessons learned from QA, UAT, and production issues into improved future designs.

KPIs
o % of automation initiatives delivered first-time-right with minimal rework
o Reduction in design-related defects identified during QA and UAT
o % of business requirements successfully translated into build-ready solution designs
o Delivery cycle time improvement due to clear and standardized solution designs
o Adoption rate of standardized design templates and patterns

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