Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this AI Architect & .NET developer role.
Rezi rewrites your resume against EXL's job description. Free.
Tailor your resume to this AI Architect & .NET developer role.
Rezi rewrites your resume against EXL's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Architect & .NET developer posting at EXL — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Architect & .NET developer posting at EXL — free, in seconds.
About the Role
As an AI Architect & .NET developer, you will design and govern end-to-end AI architectures on the Azure ecosystem to enable intelligent automation and decision support across insurance functions. The role focuses on building scalable, secure, and production-grade GenAI platforms leveraging LLMs, Agentic AI, and OCR to process complex unstructured insurance documents and generate accurate, explainable, and auditable outputs. You will define architectural patterns, lead the implementation team, and partner with stakeholders to ensure AI solutions are enterprise-ready, cost-efficient, and aligned with regulatory and operational constraints.
Responsibilities
- Act as an AI Architect and SME for GenAI-driven insurance use cases
- Define end-to-end AI architecture for unstructured document ingestion, reasoning, and output generation
- Design LLM-centric and hybrid AI architectures combining OCR, RAG systems, and Agentic workflows
- Design and govern prompt strategies and prompt frameworks for loss run and insurance document extraction & normalization, claims summarization, triage, and fraud signal generation, and underwriting risk assessment and decision support
- Establish prompt versioning, testing, and optimization standards for enterprise use
- Architect Agentic AI systems for multi-step reasoning, task decomposition, and tool orchestration
- Define patterns for human-in-the-loop, approvals, and exception handling
- Drive adoption of agent orchestration frameworks (LangGraph, AutoGen, CrewAI) in production scenarios
- Design RAG-based knowledge architectures for policy, claims, and underwriting data
- Define chunking, embedding, retrieval, and grounding strategies
- Ensure traceability and explainability of generated outputs
- Drive architectural decisions related to scalability, performance, cost optimization of LLM usage, security, data privacy, access control, auditability, and regulatory compliance
- Define reference architectures and reusable components for multiple insurance use cases
- Establish evaluation frameworks for GenAI solutions, including precision, recall, F1 metrics, grounding and hallucination detection, and consistency and explainability checks
- Partner with business stakeholders to shape AI roadmaps
- Technical project lead experience
- Guide and mentor .NET developers, React developers, and GenAI developers
- Define best practices, standards, and architectural guardrails for GenAI adoption
Requirements
- Strong proficiency in .NET/React
- Azure OpenAI APIs / enterprise LLM platforms
- API-first design
- Microservices-based architectures
- Experience integrating AI solutions into enterprise systems
- .NET (Backend) and React (Frontend) Developer
- Azure AI / Azure AI Foundry experience/ Vector Databases using Azure AI search
- Prompt Engineering & LLM Design
- Retrieval Augmented Generation (RAG) Architectures
- Eligible to work in the United Kingdom
Skills
- Insurance Domain Knowledge (P&C / Commercial Lines / Reinsurance)
- Agentic AI Frameworks (LangGraph, AutoGen, CrewAI, etc.)
- OCR systems for document ingestion and classification
- AI Governance & Token Economics
Location
- London, United Kingdom
- Fully Remote within the United Kingdom
Work Type
- Flexible hybrid working
- Permanent
Experience Level
- 7 years technical project lead experience
Benefits
- Competitive salary with a generous bonus
- Private healthcare
- Critical illness life assurance at 4 x your annual salary
- Income protection insurance
- Rewarding pension
- Everyday financial well-being solutions (cash back cards, discounts, promotions, offers)
- Cycle Scheme
- Professional and personal development opportunities
- Learning initiatives (online courses, seminars, workshops)
- Employee Stock Purchase Plan (ESPP)
- Flexible hybrid working model
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.
- Headquartered in New York with more than 60,000 employees spanning six continents.
- For more information, visit www.exlservice.com.
Equal Opportunity
- 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.