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# Agentic AI Data Architect

- **Company:** Exl
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Integration Architecture, Microsoft Azure, Cloud Engineering, Encodings, Data Architecture, Distributed Systems, Metadata, Software Safety, Search Technologies, Systems Integration, Information Technology, Virtual Agents
- **Published:** May 26, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/37374151/

## About the Role

solutions, Architecture & Technical LeadershipDefine end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layersDesign and govern agentic orchestration framework for multi-step workflowsEstablish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluationPlatform & Integration DesignDefine integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIsDesign configurable, metadata-driven framework for multi-LOB onboardingAI & GenAI EnablementDefine where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflowsEstablish multimodal integration approach combining structured, unstructured, and external dataDesign prompt lifecycle, evaluation, and optimization strategyGovernance, Safety & ModelOpsDefine AI safety and guardrails (PII, hallucination control, policy constraints)Establish ModelOps
and PromptOps frameworksEnsure explainability, auditability, and traceability of AI outputsLead technical execution across AI, data, and platform teamsGuide engineers (AI, data, full-stack) and ensure alignment with architectureDrive technical decisions and stakeholder communicationQualifications and experience we consider to be essential for the roleExperience: 10-15+ years in software/data/AI engineering with 4-6+ years in AI/ML/GenAI architectureBackground: Strong experience in designing enterprise-scale platforms and distributed systemsDomain (good to have): Insurance/reinsurance / financial servicesEducation: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related fieldProfile Type: Hands-on architect with ability to balance strategy + executionTechnical skillsRetrieval & RAG -Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context managementTool Access &

## Description

define end-to-end architecture across AI, data, orchestration, integration, and platform layers, with a strong focus on scalable, secure, and explainable AI systems.The successful candidate will drive architecture strategy for multi-step agentic workflows, RAG frameworks, vector search, prompt lifecycle management, and enterprise integrations across structured, unstructured, and external data sources. You will work closely with AI, data, and engineering teams to establish scalable platform patterns, governance frameworks, and ModelOps capabilities while ensuring alignment with business and technical objectives.This is a hands-on leadership role requiring deep expertise in GenAI architecture, distributed systems, enterprise integrations, AI safety, and cloud-native engineering practices. The ideal candidate will combine strong technical depth with the ability to lead cross-functional teams, influence stakeholders, and, translate complex AI capabilities into practical enterprise


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