Enterprise Architect

Experteer Overview Senior Architect at Allianz Technology leads AI architecture and enablement across strategy and hands-on delivery.You shape AI governance, reference architectures, and practical artifacts for delivery teams.You will prototype AI-enabled productivity tools and define the AI Development Lifecycle, balancing strategic direction with hands-on PoCs.This role aligns AI strategy with enterprise standards, driving reusable patterns and governance across the AI factory program.Compensaciones / Beneficios * Research, prototype, and build business cases for AI-powered tools and workflows; translate learnings into reusable guidance and technology radar inputs * Define and champion the AI Development Lifecycle, emphasizing spec-driven development and contract-like agreements between AI agents and humans * Design citizen development models and reference architectures for agentic systems (single-agent, multi-agent, HLI) with security, compliance, and Group standards * Execute PoCs to validate architectural hypotheses (ORchestration frameworks, A2A protocols, MCP tool ecosystems, memory/context patterns) and convert results into architecture blueprints and enablement materials * Collaborate with Ru**D and AI factory programs; participate in vendor evaluations and ensure architectural grounding for innovation * Act as the EA contact for AI factory activities; ensure designs comply with H4 guardrails and governance framework; manage ARB/DA/AI Use Case registrations * Identify reusable AI architectural patterns early to prevent production risks (security, data residency, model governance, vendor lock-in) Responsabilidades * Hands-on AI/ML system design experience (LLM integration, RAG, vector databases) and ability to evaluate PoCs without a dedicated engineering team * Knowledge of cloud-native patterns (AWS, Azure, or GCP) and modern data architectures (data mesh, lakehouse, streaming) * Understanding of data governance, data quality, metadata, lineage, and privacy-by-design considerations in AI workloads * Ability to read, write, and review code (Python) and produce architecture artifacts (ADRs, reference architectures) * Strong stakeholder management; ability to translate between business and technical language; experience in distributed teams * Experience running structured PoCs and in developer enablement programs; familiarity with spec-driven development (OpenAPI-first, AsyncAPI) * Understanding of citizen development risks, shadow IT, and governance in a large regulated environment * Comfort with ambiguity and ability to bring structure to evolving agentic AI spaces Requisitos principales * hybrid work model * up to 25 days abroad * bonus scheme * pension * employee shares program * employee discounts

registrations * Identify reusable AI architectural patterns early to prevent production risks (security, data residency, model governance, vendor lock-in) Responsabilidades * Hands-on AI/ML system design experience (LLM integration, RAG, vector databases) and ability to evaluate PoCs without a dedicated engineering team * Knowledge of cloud-native patterns (AWS, Azure, or GCP) and modern data architectures (data mesh, lakehouse, streaming) * Understanding of data governance, data quality, metadata, lineage, and privacy-by-design considerations in AI workloads * Ability to read, write, and review code (Python) and produce architecture artifacts (ADRs, reference architectures) * Strong stakeholder management; ability to translate between business and technical language; experience in distributed teams * Experience running structured PoCs and in developer enablement programs; familiarity with spec-driven development (OpenAPI-first, AsyncAPI) * Understanding of citizen development risks, shadow IT, and governance in a large regulated environment * Comfort with ambiguity and ability to bring structure to evolving agentic AI spaces Requisitos principales * hybrid work model * up to 25 days abroad * bonus scheme * pension * employee shares program * employee discounts