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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Architect - **Company:** Allianz Group - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Disaster Recovery, Information Systems Security Architecture Professional, Machine Learning, Elearning, Zero Trust Network Access, Azure Machine Learning, Runbook, Policy as Code, AI Platforms - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5cd91ea032bcbdb0 ## About the Role * Deep expertise in AI/ML platform architecture and engineering, with hands-on experience designing reference architectures spanning governance, runtime, model gateways, vector/RAG pipelines, and observability at enterprise scale. * Strong command of AI governance and model lifecycle management, including policy-as-code, red teaming, bias/safety testing, provenance tracking, audit frameworks, and change management processes. * Proven ability to define and enforce platform standards across a complex technology landscape, including curating tool and framework ecosystems, operating sandboxes, and managing deprecation and retirement cycles. * Extensive experience in designing multi-tenant, compliant, and secure architectures, with a working knowledge of zero-trust principles, disaster recovery, and alignment with Security, CISO, Risk, Compliance, Data Protection, and Legal requirements. * Strong FinOps and cost optimization acumen, with the ability to drive inference efficiency (caching, batching, compression) and implement usage policies, quotas, and quality controls that balance performance with financial responsibility. * Demonstrated ability to partner across organizational boundaries - collaborating with business units, global entities, vendors, and internal tech leaders to align roadmaps, define SLAs/SLOs, and operationalize platform services. * Passion for enablement and engineering excellence, with a track record of building reference implementations, plug-and-play blueprints, developer documentation, and reusable patterns that accelerate delivery teams. * Machine learning knowledge is a strong advantage. ## Description * Own the reference architecture for the AI Factory platform layer (governance and runtime) across Allianz. Standardize and integrate AI governance and runtime components: policy-as-code, identity/permissioning, model gateways and routing/caching, vector/RAG, prompt management, observability/telemetry, secrets, and data controls. * Define platform blueprints and APIs that FDE squads and service teams build on; deliver a plug-and-play surface with FinOps and safety guardrails baked in. * Curate the AI tool and framework landscape: set platform standards, operate sandboxes, and plan deprecation/retirement. * Design multi-tenant, compliant architectures aligned with Security, CISO, Risk, Compliance, Data Protection, and Legal requirements. Partner with business units, Allianz entities, vendors, and internal tech leaders to align roadmaps, SLAs/SLOs, and operational processes. * Build reference implementations and guide productionization; ensure reliability, zero-trust principles, disaster recovery, and runbooks. Drive enablement: documentation and patterns. * Establish model lifecycle governance: evaluation, red teaming, bias/safety testing, provenance, audit, and change management. Optimize cost/performance of inference (caching, batching, compression) and implement usage policies, quotas, and quality controls. ## Related Videos - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [This App Reached 10,000 Users in One Week. 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