AI Developer & .NET developer

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") ("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

Location: London, United Kingdom (Flexible hybrid working) OR Fully Remote within the United Kingdom

Employment Type: Permanent

Summary of the role:

As an AI Architect & .NET developer, you will be responsible for designing and governing end to end AI architectures on Azure ecosystem that enables intelligent automation and decision support across insurance functions such as underwriting, claims, reinsurance, and document heavy operations.

The role focuses on building scalable, secure, and production grade GenAI platforms leveraging LLMs, Agentic AI, OCR to process complex unstructured insurance documents (e.g., loss runs, policy forms, claims reports) and generate accurate, explainable, and auditable outputs.

You will define architectural patterns, lead the implementation team, and partner with business and technology stakeholders to ensure AI solutions are enterprise ready, cost efficient, and aligned with regulatory and operational constraints

As part of your duties, you will be responsible for:

• 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
• 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
• Underwriting risk assessment and decision support
• Establish prompt versioning, testing, and optimization standards for enterprise use

Agentic AI & Workflow Orchestration

• Architect Agentic AI systems for multi‑step reasoning, task decomposition, and tool orchestration
• 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 and performance
• Cost optimization of LLM usage
• Security, data privacy, and access control
• Auditability and regulatory compliance
• Define reference architectures and reusable components for multiple insurance use cases

Evaluation, Quality & Optimization

• Establish evaluation frameworks for GenAI solutions, including:
• Precision, recall, and F1 metrics
• Grounding and hallucination detection
• Consistency and explainability checks
• Partner with business stakeholders (Underwriting, Claims, Actuarial, Legal) to shape AI roadmaps
• Technical project lead experience 7
• Guide and mentor .net developers, react developers, and GenAI developers
• Define best practices, standards, and architectural guardrails for GenAI adoption

Qualifications and experience we consider to be essential for the role:

Technical Stack & Platform Experience

• Programming & Frameworks
• Strong proficiency in .NET/React
• GenAI & LLM Platforms
• Experience integrating AI solutions into enterprise systems
• .NET (Backend) and React (Frontend) Developer
• Prompt Engineering & LLM Design
• Retrieval Augmented Generation (RAG) Architectures

Skills and Personal attributes we would like to have:

• OCR systems for document ingestion and classification
• AI Governance & Token Economics

As part of a leading global Data and AI company, you can look forward to:

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.

• A 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 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.
• 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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