Agentic AI Data Architect

Exl
London, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Application Integration Architecture Microsoft Azure Cloud Engineering Encodings Data Architecture Distributed Systems Metadata Software Safety Search Technologies Systems Integration Information Technology
+1 more
Virtual Agents

Job 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

Requirements

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 &

Benefits & conditions

Integration -MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIsAI Safety & Governance -NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination controlEvaluation & ModelOps -Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoringDevOps & Observability -CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalabilityAs part of a leading global Data and AI company, you can look forward toA competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.To be considered for this role, you must already be eligible to work in the United Kingdom. #J-18808-Ljbffr

About the company

EXL (NASDAQ: EXLS)is a global data and artificial intelligence (“AI”) company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com .Role Title: Agentic AI Architect- Insurance DomainLocation: London, United Kingdom (Hybrid)Employment Type: PermanentSummary of the roleWe are seeking an experienced AI Solution Architect to lead the design and delivery of enterprise-scale agentic AI platforms and GenAI-enabled solutions. This role will

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