Solutions Architect - HR Systems Experience in Dublin, Dublin | Careers at Dublin, Ireland

EducationPals; Dublin; A distancia; EUR 120.000 - 160.000; Jornada completa

Descripción de la vacante

EducationPals is seeking an experienced Solutions Architect to lead large-scale HR systems transformation programs in Ireland. You will provide architectural leadership across HR, Payroll, Learning and Talent systems, aligning business needs with scalable enterprise solutions while engaging with HR, business and technology stakeholders.

The role covers identity access control, context retrieval, tool interfaces, policy engines, auditability and continuous improvement, with a focus on governance

Formación

• Experience as a Solutions Architect leading large-scale HR transformation programs.
• Ability to design scalable enterprise HR solutions across HR, Payroll, Learning and Talent systems.
• Strong collaboration with HR, business and technology stakeholders.

Responsabilidades

• Lead architectural direction across HR transformation initiatives.
• Design and integrate enterprise HR systems with governance, security and compliance considerations.
• Ensure compliance, auditability and observability across AI-enabled workflows.

Conocimientos

HR systems

Solution architecture

AI governance

Enterprise architecture

Stakeholder management

Descripción del empleo

Solutions Architect - HR Systems Experience We are looking for an experienced Solution Architect to support the delivery of large-scale HR, workforce and colleague experience transformation programmes. You will provide architectural leadership across multiple transformation initiatives, working closely with business, HR and technology stakeholders to design scalable enterprise solutions. The role will cover areas including HR, Payroll, Learning, Talent, Workforce Management and Employee Experien

Relevance is based on skills and concepts, not a guarantee that you qualify.

Coming-soon courses matched to this posting: outline, waitlist, and skill path.

Understand how governed AI systems differ from consumer AI and the key components that enable safe business process integration.

2. Identity, Access, and Permission Layers

Build authorization systems that control what AI agents can access and modify on behalf of users and processes.

3. Context Retrieval and Knowledge Integration

Implement retrieval systems that bring relevant business data and documents into AI workflows under access constraints.

4. Tool Interfaces and Action Execution

Design safe interfaces that let AI agents invoke business functions, update records, and trigger downstream processes.

5. Policy Engines and Constraint Systems

Implement rule-based and declarative policy layers that govern agent behavior across workflows.

6. Audit Logging and Traceability

Build comprehensive logging systems that capture AI decisions, data access, and actions for compliance and debugging.

7. Monitoring, Evaluation, and Continuous Improvement

Establish feedback loops and observability practices to detect failures, measure quality, and improve agent performance over time.