AI Platform Architect

Alldus; Dublin; On-site; EUR 124,000 - 207,000; Part time

Job summary

Alldus is seeking an AI Platform Architect for an enterprise AI governance programme in Ireland. You will design how AI platforms and agents integrate with identity, security, data, governance and operations, combining architecture with sandbox validation.

The role emphasizes secure sandboxes, production-readiness, and clear technical documentation for stakeholders. You will drive integration roadmaps, assess dependencies and licensing, and ensure controlled onboarding and monitoring of

Qualifications

• Strong AI platform, cloud and enterprise integration architecture background.
• Experience with generative AI, agents, APIs, identity and security controls.
• Experience integrating governance, service-management, data and monitoring platforms.
• Delivery of secure sandboxes or PoCs, ideally progressing into production.
• Clear technical documentation and stakeholder communication skills.

Responsibilities

• Define integration architecture, authoritative data sources, interfaces and ownership.
• Design controls for AI access, delegated actions, approvals, policy enforcement and audit evidence.
• Lead a secure non-production sandbox to validate integrations, controls, failure handling and recovery.
• Assess technology capabilities, limitations, dependencies and licensing implications.
• Produce technical designs, validation findings, an integration roadmap and handover documentation.

Skills

AI platform architecture

Cloud integration

Security controls

Documentation and communication

APIs

Job description

AI Platform Architect

Location: Ireland
Working arrangement: 2 days per week, Dublin
Duration: Initial 10-12 weeks
Status: Proposed engagement, subject to final approval

We are supporting a technology consulting partner seeking an AI Platform Architect for an enterprise AI governance programme.

You will design how AI platforms and agents integrate with existing identity, security, data, governance and operational systems. The role combines architecture with practical sandbox validation, testing how AI is onboarded, approved, controlled and monitored.

Key responsibilities

• Define integration architecture, authoritative data sources, interfaces and ownership.
• Design controls for AI access, delegated actions, approvals, policy enforcement and audit evidence.
• Lead a secure non-production sandbox to validate integrations, controls, failure handling and recovery.
• Assess technology capabilities, limitations, dependencies and licensing implications.
• Produce technical designs, validation findings, an integration roadmap and handover documentation.

Required experience

• Strong AI platform, cloud and enterprise integration architecture background.
• Practical experience with generative AI, agents, APIs, identity and security controls.
• Experience integrating governance, service-management, data and monitoring platforms.
• Delivery of secure sandboxes or PoCs, ideally supporting progression into production.
• Clear technical documentation and stakeholder communication skills.