Partly
Staff Solutions Architect
Ireland
- Full-time
- Posted 15 Oct 2026
- aiapiautomationcloudintunejamfjavascriptjiraobservabilitypowershell
* The Senior Solutions Architect shapes the technical approach for moving employee technology support from reactive response toward predictive detection, safe self-healing, and higher value enablement. The role turns service needs into cross-platform architecture, reusable patterns, and clear implementation guidance * Working with engineering, operations, platform, security, and architecture partners, this individual makes technical tradeoffs visible and helps teams deliver solutions that can be operated and improved over time * Lead technical discovery for complex, cross-platform employee technology opportunities and define target architectures, integration patterns, and implementation options * Design the flow from service and endpoint signals through detection, diagnosis, approved remediation, escalation, and outcome recording * Set reusable standards for APIs, identity, data handling, observability, testing, rollback, and operational ownership in automation solutions * Assess build versus buy options and emerging AI capabilities against employee value, technical feasibility, security, and supportability * Define how ServiceNow, Moveworks, Jira, Slack, Nexthink, Jamf, Microsoft Intune, Microsoft 365, Microsoft Graph, and related services exchange signals, context, actions, and outcomes where those platforms are in scope * Create reference patterns for API integration, event handling, identity and access, data minimization, workflow orchestration, and reuse across employee technology services * Partner with platform owners to align solution designs with enterprise architecture, security, privacy, and operational standards; identify dependencies and ownership before delivery * Guide designs that combine endpoint telemetry, service history, and employee context without assuming that a signal alone proves an issue or that automation always warrants an action * Design a portfolio of use cases spanning proactive detection, guided self service, assisted support, and controlled self healing, with criteria for choosing the appropriate response * Define safeguards for AI assisted workflows, including source quality, evaluation, human review where needed, auditability, and paths for uncertain or failed outcomes * Establish measurement approaches with service owners that separate automation execution, resolution, employee impact, and any verified change in support demand * Evaluate new technology through focused proofs of concept and recommend where it should be adopted, improved, or deferred * Design or review advanced Python, PowerShell, JavaScript, and API based components when architectural risk or reuse warrants direct involvement * Set expectations for code quality, version control, testing, performance, resilience, and documentation across automation solutions * Review high-impact solution designs and resolve architectural tradeoffs with platform owners, security partners, and delivery teams * Provide reference designs, decision records, and guidance that engineering teams can use in delivery * Prototype selected high-risk elements to validate feasibility and guide production implementation of critical integrations * Mentor engineers and contribute technical input to the employee technology roadmap * Degree in a relevant field or equivalent practical experience * Significant experience designing and delivering enterprise integrations or automation across multiple teams and platforms * Strong knowledge of APIs, scripting or software engineering, security controls, reliability, and operational design * Experience developing reference architectures and guiding multi-platform engineering without formal line management authority * Ability to assess AI enabled automation for safety, quality, maintainability, and measurable service value * Evidence of making sound architecture decisions and guiding solutions from concept through production operation * Ability to explain technical tradeoffs and work effectively with engineering, operations, platform, and business stakeholders * Digital workplace and service platforms such as ServiceNow, Nexthink, Moveworks, Jamf, Intune, Microsoft 365, Jira, or Slack * AI assisted service workflows, cloud services, and enterprise architecture methods
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