Automation - AI Solution Designer Consultant

AIA Philippines; Makati; On-site; PHP 1,674,000 - 2,344,000; Full time

Job summary

AIA Philippines seeks a Solution Designer (Automation & AI) to translate business requirements into automation-ready designs for RPA, AI, IDP, and integrations. You will craft end-to-end architectures, ensure security and regulatory compliance, and produce build-ready artifacts.

You will collaborate with AI specialists to ensure feasible, explainable, and responsible AI solutions while aligning with enterprise standards and reusable components across the Automation & AI COE.

Responsibilities

• Translate approved business requirements, process designs, and transformation initiatives into automation-ready solution designs (RPA, AI, IDP, integrations).
• Define end-to-end solution architectures, including workflow logic, exception handling, data inputs/outputs, AI components, and system touchpoints.
• Design solutions that are scalable, secure, and compliant with MediCard's architecture, data governance, and regulatory standards.
• Design AI-assisted use cases such as document recognition, classification, validation, chatbot flows, and intelligent routing.
• Work closely with AI Specialists to ensure feasibility, explainability, accuracy, and responsible AI usage in solution designs.
• Ensure solutions align with enterprise automation standards, reusable components, and platform best practices.
• Produce clear, complete, and build-ready design artifacts (solution blueprints, flow diagrams, user stories, acceptance criteria).
• Serve as the single point of accountability for solution design quality across automation initiatives.
• Support Automation Developers, Integration Engineers, QA, and UAT teams by clarifying design intent and resolving design-related issues.
• Participate in design reviews to ensure alignment with compliance, risk, and audit requirements.
• Partner with Business Analysts, Process Engineers, and CI Leads to ensure designs reflect optimized and automation-ready processes.
• Collaborate with IT, Architecture, Data Governance, and Security teams to validate technical and data compliance.
• Act as a translator between business stakeholders and technical delivery teams, ensuring shared understanding and execution clarity.
• Standardize solution design templates, patterns, and documentation practices across the Automation & AI COE.
• Identify opportunities to reuse components and improve design efficiency across initiatives.
• Incorporate lessons learned from QA, UAT, and production issues into improved future designs.

Job description

Role overview

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.

Responsibilities

• Translate approved business requirements, process designs, and transformation initiatives into automation-ready solution designs (RPA, AI, IDP, integrations).
• Define end-to-end solution architectures, including workflow logic, exception handling, data inputs/outputs, AI components, and system touchpoints.
• Design solutions that are scalable, secure, and compliant with MediCard's architecture, data governance, and regulatory standards.
• Design AI-assisted use cases such as document recognition, classification, validation, chatbot flows, and intelligent routing.
• Work closely with AI Specialists to ensure feasibility, explainability, accuracy, and responsible AI usage in solution designs.
• Ensure solutions align with enterprise automation standards, reusable components, and platform best practices.
• Produce clear, complete, and build-ready design artifacts (solution blueprints, flow diagrams, user stories, acceptance criteria).
• Serve as the single point of accountability for solution design quality across automation initiatives.
• Support Automation Developers, Integration Engineers, QA, and UAT teams by clarifying design intent and resolving design-related issues.
• Participate in design reviews to ensure alignment with compliance, risk, and audit requirements.
• Partner with Business Analysts, Process Engineers, and CI Leads to ensure designs reflect optimized and automation-ready processes.
• Collaborate with IT, Architecture, Data Governance, and Security teams to validate technical and data compliance.
• Act as a translator between business stakeholders and technical delivery teams, ensuring shared understanding and execution clarity.
• Standardize solution design templates, patterns, and documentation practices across the Automation & AI COE.
• Identify opportunities to reuse components and improve design efficiency across initiatives.
• Incorporate lessons learned from QA, UAT, and production issues into improved future designs.

KPIs

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