Job Summary
MCP SaaS Activation & Azure Configuration
- Activate and configure the MCP SaaS platform as the central AI orchestrator within the Azure environment
- Integrate MCP with existing Azure infrastructure, identity management, and cloud services
- Design and implement connector architecture to enable seamless integration of AI services and data sources
- Validate platform stability, performance, and scalability to support production-grade workloads
Security, Permissions & Governance Baseline
- Define and implement role-based access control (RBAC) and permission structures within MCP
- Establish security baselines aligned with enterprise standards (data classification, encryption, access policies)
- Configure comprehensive logging, monitoring, and audit trail capabilities
- Set up the governance framework — approval workflows, policy enforcement, and compliance checkpoints
- Collaborate with the internal security team to ensure all configurations meet Smurfit Westrock risk requirements
ServiceNow Domain & Lighthouse Use Case (TLO) Onboarding
- Create the initial ServiceNow domain within the MCP framework to enable service management integration
- Configure the TLO (Transport & Logistics Operations) use case as the lighthouse — the first production AI service to be industrialized through the platform
- Support the end-to-end technical path from prototype to production-ready service for the TLO use case
- Document the service mapping, runbook, and SLA framework to be reused in Phase 2 industrialization
Observability & Platform Readiness
- Implement monitoring dashboards and alerting for platform health, usage, and cost visibility
- Ensure the platform is instrumented for Phase 2 handover — supporting the internal team's ability to operate independently
- Produce clear technical documentation: architecture diagrams, configuration guides, and operational runbooks
Key Responsibilities
Technical Expertise
- Proven hands-on experience with MCP (Model Context Protocol) — SaaS deployment and orchestration
- Strong Azure cloud expertise: Azure OpenAI Service, Azure API Management, Azure Active Directory, networking
- Experience configuring AI orchestration platforms and connector-based integration architectures
- Deep understanding of enterprise security patterns: RBAC, OAuth, secrets management, logging & auditing
- Familiarity with ServiceNow integration and ITSM domain configuration is advantageous
Delivery & Consulting
- Track record of delivering AI platform or integration projects in enterprise environments
- Ability to work embedded with an internal engineering team — pragmatic, hands-on, delivery-focused
- Strong documentation skills: able to produce architecture artefacts and operational guides to a production standard
- Experience working in cross-functional environments with security, governance, and business stakeholders
Profile & Soft Skills
- Senior-level consultant with 7+ years of relevant technical experience
- Based in the Netherlands (NLD) — on-site availability required for Phase 1
- Fluent in English; Dutch is a plus
- Self-starter who can hit the ground running with minimal onboarding overhead
- Clear communicator — able to translate technical decisions into business language for stakeholders
Skill Requirements
Technical Expertise
- Proven hands-on experience with MCP (Model Context Protocol) — SaaS deployment and orchestration
- Strong Azure cloud expertise: Azure OpenAI Service, Azure API Management, Azure Active Directory, networking
- Experience configuring AI orchestration platforms and connector-based integration architectures
- Deep understanding of enterprise security patterns: RBAC, OAuth, secrets management, logging & auditing
- Familiarity with ServiceNow integration and ITSM domain configuration is advantageous
Delivery & Consulting
- Track record of delivering AI platform or integration projects in enterprise environments
- Ability to work embedded with an internal engineering team — pragmatic, hands-on, delivery-focused
- Strong documentation skills: able to produce architecture artefacts and operational guides to a production standard
- Experience working in cross-functional environments with security, governance, and business stakeholders
Profile & Soft Skills
- Senior-level consultant with 7+ years of relevant technical experience
- Based in the Netherlands (NLD) — on-site availability required for Phase 1
- Fluent in English; Dutch is a plus
- Self-starter who can hit the ground running with minimal onboarding overhead
- Clear communicator — able to translate technical decisions into business language for stakeholders
Other Requirements
Technical Expertise
- Proven hands-on experience with MCP (Model Context Protocol) — SaaS deployment and orchestration
- Strong Azure cloud expertise: Azure OpenAI Service, Azure API Management, Azure Active Directory, networking
- Experience configuring AI orchestration platforms and connector-based integration architectures
- Deep understanding of enterprise security patterns: RBAC, OAuth, secrets management, logging & auditing
- Familiarity with ServiceNow integration and ITSM domain configuration is advantageous
Delivery & Consulting
- Track record of delivering AI platform or integration projects in enterprise environments
- Ability to work embedded with an internal engineering team — pragmatic, hands-on, delivery-focused
- Strong documentation skills: able to produce architecture artefacts and operational guides to a production standard
- Experience working in cross-functional environments with security, governance, and business stakeholders
Profile & Soft Skills
- Senior-level consultant with 7+ years of relevant technical experience
- Based in the Netherlands (NLD) — on-site availability required for Phase 1
- Fluent in English; Dutch is a plus
- Self-starter who can hit the ground running with minimal onboarding overhead
- Clear communicator — able to translate technical decisions into business language for stakeholders