Principal Architect, Procurement AI & Intelligent Automation (f/m/d)

Job Description
Job Alerts Link Job Title: Principal Architect, Procurement AI & Intelligent Automation (f/m/d)At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description
Job OverviewOwn the target-state Procurement technology architecture and the engineering strategy that connects intake, category management, sourcing, contracts, suppliers, purchasing, enterprise master data and ERP execution. Translate business strategy into a sequenced FY27-FY29 roadmap and secure, production-ready intelligent workflows that deliver measurable productivity, reliability and compliance.
Job RequirementsKey ResponsibilitiesEnterprise Architecture & RoadmapOwn Procurement architecture across GEP, SAP, ServiceNow, AI, automation, integrations, supplier collaboration, and master data platforms.
Define standards, APIs, integration patterns, data models, reusable services, technology roadmaps, and buy-versus-build decisions.
Lead architecture governance, reviews, and strategic technology decisions.
AI, Automation & IntegrationsDesign AI agents, intelligent workflows, and automation solutions for sourcing, procurement, supplier interactions, compliance, and master data processes.
Select appropriate AI, ML, RPA, workflow, orchestration, and rules-based automation approaches.
Ensure security, governance, monitoring, reliability, scalability, auditability, and cost optimization.
Deliver hands-on development, integration, troubleshooting, and automation using Python, APIs, middleware, and enterprise platforms.
Procurement TransformationArchitect Source-to-Contract, Source-to-Pay, Supplier Management, Requisition-to-PO, Supply Assurance, and Master Data Governance solutions.




Partner with Procurement, PSC, Operations, and Business Units to simplify and automate processes.
Ensure compliant integration and orchestration between procurement and ERP platforms.
Drive measurable improvements in productivity, cycle time, automation, supplier performance, compliance, and business outcomes.
Technical LeadershipProvide technical direction to engineering teams, automation specialists, product owners, and implementation partners.
Establish reusable frameworks, standards, documentation, runbooks, and best practices.
Collaborate with Enterprise Architecture, Cybersecurity, Data, Finance, and AI teams to maintain a cohesive technology roadmap.
Experience & CapabilitiesRequired10+ years' experience in software engineering, enterprise architecture, integration delivery, or intelligent automation.
Strong hands-on expertise in Python, APIs, automation engineering, data integration, troubleshooting, and solution design.
Proven delivery of AI, LLM, agentic AI, workflow, and RPA solutions in production environments.
Experience integrating SAP or equivalent ERP platforms with procurement technologies.
Strong understanding of Source-to-Pay and Source-to-Contract processes.
Ability to define and communicate enterprise architecture strategies, roadmaps, and investment priorities to senior leaders.
PreferredExperience with GEP SMART, SAP S/4HANA, SAP MDG, SAP BTP, ServiceNow, MuleSoft, SupplyOn, or similar platforms.




Knowledge of Azure AI, AWS Bedrock, LangGraph, Semantic Kernel, or equivalent AI orchestration technologies.
Experience with UiPath, Power Automate, SAP Build Process Automation, Docker, Git, cloud platforms, CI/CD, and modern engineering practices.
Experience supporting general manufacturing organizations with complex procurement, compliance, risk, and audit requirements.
Desired Candidate Profile:Success MeasuresFirst 30 DaysMap the live architecture, risks, integrations, use cases, and technical dependencies.
Establish a transition plan with the incumbent architect and engineering teams.
By Day 90Present an approved target-state architecture and sequenced technology roadmap.
Independently own the design of critical integrations.
Deliver or significantly improve one production-ready automation pattern.
By Month 6Assume architectural accountability across Procurement AI and automation.
Complete knowledge transfer, design standards, reusable assets, key operational runbooks, and a prioritized delivery backlog.
OngoingDrive architecture reuse and stability.
Reduce manual touchpoints.
Improve PR/PO and sourcing cycle times.
Increase AI adoption and measurable productivity.
Maintain security, quality, and engineering health.
Key RelationshipsProcurement Transformation DirectorBOAT / Automation Development TeamsPSC OperationsGEP Polaris PMOSAP Evolve and MDG TeamsBU ProcurementTE Enterprise Architecture, IT Integration, Cybersecurity, and Data TeamsCentral AI TeamsImplementation PartnersRecruiting CalibrationPrioritize candidates with both architecture ownership and hands‑on implementation experience. Deep expertise in every named TE platform is not required. Proven engineering depth, procurement process knowledge

📌 Principal Architect, Procurement Ai (Madrid)
🏢 TE Connectivity
📍 Madrid