Role Title: Agentic AI Architect – Insurance Domain
Location: London, United Kingdom (Hybrid)
Employment Type: Permanent
Summary of the Role
We 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 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 solutions.
Key Responsibilities
Architecture & Technical Leadership
- Define end‑to‑end architecture for agentic AI‑enabled platform across data, AI, orchestration, and integration layers
- Design and govern agentic orchestration framework for multi‑step workflows
- Establish architecture patterns for RAG and grounding, vector search and retrieval, MCP tool access layer, prompt management and evaluation
Platform & Integration Design
- Define integration architecture across Lakehouse, ODS, document systems; underwriting systems and third‑party APIs
- Design configurable, metadata‑driven framework for multi‑LOB onboarding
AI & GenAI Enablement
- Define where and how to use GenAI vs deterministic logic, agentic workflows vs pipeline workflows
- Establish multimodal integration approach combining structured, unstructured, and external data
- Design prompt lifecycle, evaluation, and optimization strategy
Governance, Safety & ModelOps
- Define AI safety and guardrails (PII, hallucination control, policy constraints)
- Establish ModelOps and PromptOps frameworks
- Ensure explainability, auditability, and traceability of AI outputs
- Lead technical execution across AI, data, and platform teams
- Guide engineers (AI, data, full‑stack) and ensure alignment with architecture
- Drive technical decisions and stakeholder communication
Qualifications
- Experience: 10-15+ years in software/data/AI engineering with 4-6+ years in AI/ML/GenAI architecture
- Background: Strong experience in designing enterprise‑scale platforms and distributed systems
- Domain (good to have): Insurance/reinsurance / financial services
- Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
- Profile Type: Hands‑on architect with ability to balance strategy + execution
Technical Skills
- Retrieval & RAG: Azure AI Search (indexing, vector search, hybrid search); embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management
- Tool Access & Integration: MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); integration with enterprise systems and third‑party APIs
- AI Safety & Governance: NVIDIA NeMo Guardrails; Microsoft Presidio (PII detection/masking); guardrails for prompt injection, hallucination control
- Evaluation & ModelOps: Azure AI Foundry (model hosting, versioning, monitoring); evaluation frameworks (LLM‑as‑judge, test datasets); Prompt/version control, cost/latency monitoring
- DevOps & Observability: CI/CD pipelines (Azure DevOps / GitHub Actions); logging, monitoring, observability (App Insights, etc.); performance tuning and scalability
Benefits
- A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4x your annual salary, income protection insurance, and a rewarding pension.
- EXL provides everyday financial well‑being solutions, such as cashback 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.
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